diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 000000000..3466d3150 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,6 @@ +* +!*.py +!requirements.txt +!images/* +!front-end/* +front-end/node_modules/* diff --git a/.github/media/app1-concept.png b/.github/media/app1-concept.png index 6ed338b3f..89d02fb81 100644 Binary files a/.github/media/app1-concept.png and b/.github/media/app1-concept.png differ diff --git a/.github/media/app1-generate.png b/.github/media/app1-generate.png new file mode 100644 index 000000000..233a1dd40 Binary files /dev/null and b/.github/media/app1-generate.png differ diff --git a/.github/media/app1-rag-selector.png b/.github/media/app1-rag-selector.png new file mode 100644 index 000000000..1620a44a9 Binary files /dev/null and b/.github/media/app1-rag-selector.png differ diff --git a/.github/media/app1-ticket.png b/.github/media/app1-ticket.png new file mode 100644 index 000000000..2818be34f Binary files /dev/null and b/.github/media/app1-ticket.png differ diff --git a/.github/media/app2-model.png b/.github/media/app2-model.png index cb81d8838..576eee6ab 100644 Binary files a/.github/media/app2-model.png and b/.github/media/app2-model.png differ diff --git a/.github/media/app2-ui-1.png b/.github/media/app2-ui-1.png new file mode 100644 index 000000000..f29353150 Binary files /dev/null and b/.github/media/app2-ui-1.png differ diff --git a/.github/media/app3-ui.png b/.github/media/app3-ui.png new file mode 100644 index 000000000..1f1dc66e7 Binary files /dev/null and b/.github/media/app3-ui.png differ diff --git a/.github/media/app5-ui.png b/.github/media/app5-ui.png new file mode 100644 index 000000000..23ba0d841 Binary files /dev/null and b/.github/media/app5-ui.png differ diff --git a/.gitignore b/.gitignore index 30bd623c2..93ecc0fff 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,5 @@ .env - +data/ +embedding_model/* +!embedding_model/.ignore +.DS_Store diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 000000000..bd0c2245e --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,250 @@ +# Contributing to Docker + +This page contains information about reporting issues as well as some tips and +guidelines useful to experienced open source contributors. Finally, make sure +you read our [community guidelines](#docker-community-guidelines) before you +start participating. + +## Topics + +* [Reporting Security Issues](#reporting-security-issues) +* [Reporting Issues](#reporting-other-issues) +* [Quick Contribution Tips and Guidelines](#quick-contribution-tips-and-guidelines) +* [Community Guidelines](#docker-community-guidelines) + +## Reporting security issues + +The Docker maintainers take security seriously. If you discover a security +issue, please bring it to their attention right away! + +Please **DO NOT** file a public issue, instead send your report privately to +[security@docker.com](mailto:security@docker.com). + +Security reports are greatly appreciated and we will publicly thank you for it. +We also like to send gifts—if you're into Docker schwag, make sure to let +us know. We currently do not offer a paid security bounty program, but are not +ruling it out in the future. + +## Reporting other issues + +A great way to contribute to the project is to send a detailed report when you +encounter an issue. We always appreciate a well-written, thorough bug report, +and will thank you for it! + +Check that [our issue database](https://github.com/docker/gen-ai-stack/issues) +doesn't already include that problem or suggestion before submitting an issue. +If you find a match, you can use the "subscribe" button to get notified on +updates. Do *not* leave random "+1" or "I have this too" comments, as they +only clutter the discussion, and don't help resolving it. However, if you +have ways to reproduce the issue or have additional information that may help +resolving the issue, please leave a comment. + +When reporting issues, always include: + +* The output of `docker version`. +* The output of `docker info`. + +Also include the steps required to reproduce the problem if possible and +applicable. This information will help us review and fix your issue faster. +When sending lengthy log-files, consider posting them as a gist (https://gist.github.com). +Don't forget to remove sensitive data from your logfiles before posting (you can +replace those parts with "REDACTED"). + +## Quick contribution tips and guidelines + +This section gives the experienced contributor some tips and guidelines. + +### Pull requests are always welcome + +Not sure if that typo is worth a pull request? Found a bug and know how to fix +it? Do it! We will appreciate it. Any significant improvement should be +documented as [a GitHub issue](https://github.com/docker/gen-ai-stack/issues) before +anybody starts working on it. + +We are always thrilled to receive pull requests. We do our best to process them +quickly. If your pull request is not accepted on the first try, +don't get discouraged! Our contributor's guide explains [the review process we +use for simple changes](https://docs.docker.com/opensource/workflow/make-a-contribution/). + +### Talking to other Docker users and contributors + + + + + + + + + + + + +
Community Slack + The Docker Community has a dedicated Slack chat to discuss features and issues. You can sign-up with this link. +
Twitter + You can follow Docker's Twitter feed + to get updates on our products. You can also tweet us questions or just + share blogs or stories. +
+ + +### Conventions + +Fork the repository and make changes on your fork in a feature branch: + +- If it's a bug fix branch, name it XXXX-something where XXXX is the number of + the issue. +- If it's a feature branch, create an enhancement issue to announce + your intentions, and name it XXXX-something where XXXX is the number of the + issue. + +Pull request descriptions should be as clear as possible and include a reference +to all the issues that they address. + +Commit messages must start with a capitalized and short summary (max. 50 chars) +written in the imperative, followed by an optional, more detailed explanatory +text which is separated from the summary by an empty line. + +Code review comments may be added to your pull request. Discuss, then make the +suggested modifications and push additional commits to your feature branch. Post +a comment after pushing. New commits show up in the pull request automatically, +but the reviewers are notified only when you comment. + +Pull requests must be cleanly rebased on top of master without multiple branches +mixed into the PR. + +**Git tip**: If your PR no longer merges cleanly, use `rebase main` in your +feature branch to update your pull request rather than `merge main`. + +Before you make a pull request, squash your commits into logical units of work +using `git rebase -i` and `git push -f`. A logical unit of work is a consistent +set of patches that should be reviewed together: for example, upgrading the +version of a vendored dependency and taking advantage of its now available new +feature constitute two separate units of work. Implementing a new function and +calling it in another file constitute a single logical unit of work. The very +high majority of submissions should have a single commit, so if in doubt: squash +down to one. + +Include an issue reference like `Closes #XXXX` or `Fixes #XXXX` in the pull request +description that close an issue. Including references automatically closes the issue +on a merge. + +### Sign your work + +The sign-off is a simple line at the end of the explanation for the patch. Your +signature certifies that you wrote the patch or otherwise have the right to pass +it on as an open-source patch. The rules are pretty simple: if you can certify +the below (from [developercertificate.org](https://developercertificate.org): + +``` +Developer Certificate of Origin +Version 1.1 + +Copyright (C) 2004, 2006 The Linux Foundation and its contributors. +660 York Street, Suite 102, +San Francisco, CA 94110 USA + +Everyone is permitted to copy and distribute verbatim copies of this +license document, but changing it is not allowed. + +Developer's Certificate of Origin 1.1 + +By making a contribution to this project, I certify that: + +(a) The contribution was created in whole or in part by me and I + have the right to submit it under the open source license + indicated in the file; or + +(b) The contribution is based upon previous work that, to the best + of my knowledge, is covered under an appropriate open source + license and I have the right under that license to submit that + work with modifications, whether created in whole or in part + by me, under the same open source license (unless I am + permitted to submit under a different license), as indicated + in the file; or + +(c) The contribution was provided directly to me by some other + person who certified (a), (b) or (c) and I have not modified + it. + +(d) I understand and agree that this project and the contribution + are public and that a record of the contribution (including all + personal information I submit with it, including my sign-off) is + maintained indefinitely and may be redistributed consistent with + this project or the open source license(s) involved. +``` + +Then you just add a line to every git commit message: + + Signed-off-by: Joe Smith + +Use your real name (sorry, no pseudonyms or anonymous contributions.) + +If you set your `user.name` and `user.email` git configs, you can sign your +commit automatically with `git commit -s`. + +## Docker community guidelines + +We want to keep the Docker community awesome, growing and collaborative. We need +your help to keep it that way. To help with this we've come up with some general +guidelines for the community as a whole: + +* Be nice: Be courteous, respectful and polite to fellow community members: + no regional, racial, gender, or other abuse will be tolerated. We like + nice people way better than mean ones! + +* Encourage diversity and participation: Make everyone in our community feel + welcome, regardless of their background and the extent of their + contributions, and do everything possible to encourage participation in + our community. + +* Keep it legal: Basically, don't get us in trouble. Share only content that + you own, do not share private or sensitive information, and don't break + the law. + +* Stay on topic: Make sure that you are posting to the correct channel and + avoid off-topic discussions. Remember when you update an issue or respond + to an email you are potentially sending to a large number of people. Please + consider this before you update. Also remember that nobody likes spam. + +* Don't send email to the maintainers: There's no need to send email to the + maintainers to ask them to investigate an issue or to take a look at a + pull request. Instead of sending an email, GitHub mentions should be + used to ping maintainers to review a pull request, a proposal or an + issue. + +### Guideline violations β€” 3 strikes method + +The point of this section is not to find opportunities to punish people, but we +do need a fair way to deal with people who are making our community suck. + +1. First occurrence: We'll give you a friendly, but public reminder that the + behavior is inappropriate according to our guidelines. + +2. Second occurrence: We will send you a private message with a warning that + any additional violations will result in removal from the community. + +3. Third occurrence: Depending on the violation, we may need to delete or ban + your account. + +**Notes:** + +* Obvious spammers are banned on first occurrence. 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Affirmer understands and acknowledges that Creative Commons is not a + party to this document and has no duty or obligation with respect to + this CC0 or use of the Work. diff --git a/api.Dockerfile b/api.Dockerfile new file mode 100644 index 000000000..e97801f2f --- /dev/null +++ b/api.Dockerfile @@ -0,0 +1,21 @@ +FROM langchain/langchain + +WORKDIR /app + +RUN apt-get update && apt-get install -y \ + build-essential \ + curl \ + software-properties-common \ + && rm -rf /var/lib/apt/lists/* + +COPY requirements.txt . + +RUN pip install --upgrade -r requirements.txt + +COPY api.py . +COPY utils.py . +COPY chains.py . + +HEALTHCHECK CMD curl --fail http://localhost:8504 + +ENTRYPOINT [ "uvicorn", "api:app", "--host", "0.0.0.0", "--port", "8504" ] diff --git a/api.py b/api.py new file mode 100644 index 000000000..37271d967 --- /dev/null +++ b/api.py @@ -0,0 +1,161 @@ +import os + +from langchain_community.graphs import Neo4jGraph +from dotenv import load_dotenv +from utils import ( + create_vector_index, + BaseLogger, +) +from chains import ( + load_embedding_model, + load_llm, + configure_llm_only_chain, + configure_qa_rag_chain, + generate_ticket, +) +from fastapi import FastAPI, Depends +from pydantic import BaseModel +from langchain.callbacks.base import BaseCallbackHandler +from threading import Thread +from queue import Queue, Empty +from collections.abc import Generator +from sse_starlette.sse import EventSourceResponse +from fastapi.middleware.cors import CORSMiddleware +import json + +load_dotenv(".env") + +url = os.getenv("NEO4J_URI") +username = os.getenv("NEO4J_USERNAME") +password = os.getenv("NEO4J_PASSWORD") +ollama_base_url = os.getenv("OLLAMA_BASE_URL") +embedding_model_name = os.getenv("EMBEDDING_MODEL") +llm_name = os.getenv("LLM") +# Remapping for Langchain Neo4j integration +os.environ["NEO4J_URL"] = url + +embeddings, dimension = load_embedding_model( + embedding_model_name, + config={"ollama_base_url": ollama_base_url}, + logger=BaseLogger(), +) + +# if Neo4j is local, you can go to http://localhost:7474/ to browse the database +neo4j_graph = Neo4jGraph(url=url, username=username, password=password) +create_vector_index(neo4j_graph, dimension) + +llm = load_llm( + llm_name, logger=BaseLogger(), config={"ollama_base_url": ollama_base_url} +) + +llm_chain = configure_llm_only_chain(llm) +rag_chain = configure_qa_rag_chain( + llm, embeddings, embeddings_store_url=url, username=username, password=password +) + + +class QueueCallback(BaseCallbackHandler): + """Callback handler for streaming LLM responses to a queue.""" + + def __init__(self, q): + self.q = q + + def on_llm_new_token(self, token: str, **kwargs) -> None: + self.q.put(token) + + def on_llm_end(self, *args, **kwargs) -> None: + return self.q.empty() + + +def stream(cb, q) -> Generator: + job_done = object() + + def task(): + x = cb() + q.put(job_done) + + t = Thread(target=task) + t.start() + + content = "" + + # Get each new token from the queue and yield for our generator + while True: + try: + next_token = q.get(True, timeout=1) + if next_token is job_done: + break + content += next_token + yield next_token, content + except Empty: + continue + + +app = FastAPI() +origins = ["*"] + +app.add_middleware( + CORSMiddleware, + allow_origins=origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + + +@app.get("/") +async def root(): + return {"message": "Hello World"} + + +class Question(BaseModel): + text: str + rag: bool = False + + +class BaseTicket(BaseModel): + text: str + + +@app.get("/query-stream") +def qstream(question: Question = Depends()): + output_function = llm_chain + if question.rag: + output_function = rag_chain + + q = Queue() + + def cb(): + output_function( + {"question": question.text, "chat_history": []}, + callbacks=[QueueCallback(q)], + ) + + def generate(): + yield json.dumps({"init": True, "model": llm_name}) + for token, _ in stream(cb, q): + yield json.dumps({"token": token}) + + return EventSourceResponse(generate(), media_type="text/event-stream") + + +@app.get("/query") +async def ask(question: Question = Depends()): + output_function = llm_chain + if question.rag: + output_function = rag_chain + result = output_function( + {"question": question.text, "chat_history": []}, callbacks=[] + ) + + return {"result": result["answer"], "model": llm_name} + + +@app.get("/generate-ticket") +async def generate_ticket_api(question: BaseTicket = Depends()): + new_title, new_question = generate_ticket( + neo4j_graph=neo4j_graph, + llm_chain=llm_chain, + input_question=question.text, + ) + return {"result": {"title": new_title, "text": new_question}, "model": llm_name} diff --git a/bot.Dockerfile b/bot.Dockerfile index 135b00676..9d65ef50a 100644 --- a/bot.Dockerfile +++ b/bot.Dockerfile @@ -1,5 +1,4 @@ -# TODO Langchain base image -FROM python:latest +FROM langchain/langchain WORKDIR /app @@ -13,8 +12,9 @@ COPY requirements.txt . RUN pip install --upgrade -r requirements.txt -# COPY .env . COPY bot.py . +COPY utils.py . +COPY chains.py . EXPOSE 8501 diff --git a/bot.py b/bot.py index 29eb6b148..4146af07b 100644 --- a/bot.py +++ b/bot.py @@ -1,137 +1,176 @@ import os import streamlit as st -from langchain.vectorstores.neo4j_vector import Neo4jVector -from langchain.embeddings.openai import OpenAIEmbeddings -from langchain.embeddings import OllamaEmbeddings -from langchain.chat_models import ChatOpenAI -from langchain.chains import ConversationalRetrievalChain -from langchain.memory import ConversationBufferMemory -from langchain.prompts.chat import ( - ChatPromptTemplate, - SystemMessagePromptTemplate, - AIMessagePromptTemplate, - HumanMessagePromptTemplate, -) +from streamlit.logger import get_logger +from langchain.callbacks.base import BaseCallbackHandler +from langchain_community.graphs import Neo4jGraph from dotenv import load_dotenv +from utils import ( + create_vector_index, +) +from chains import ( + load_embedding_model, + load_llm, + configure_llm_only_chain, + configure_qa_rag_chain, + generate_ticket, +) load_dotenv(".env") url = os.getenv("NEO4J_URI") username = os.getenv("NEO4J_USERNAME") password = os.getenv("NEO4J_PASSWORD") -page = os.getenv("WIKIPEDIA_PAGE") or "Sweden" -prompt = os.getenv("PROMPT") or "What is the second largest city in Sweden?" - +ollama_base_url = os.getenv("OLLAMA_BASE_URL") +embedding_model_name = os.getenv("EMBEDDING_MODEL") +llm_name = os.getenv("LLM") +# Remapping for Langchain Neo4j integration os.environ["NEO4J_URL"] = url -embeddings = OpenAIEmbeddings() -# embeddings = OllamaEmbeddings() +logger = get_logger(__name__) -llm = ChatOpenAI(temperature=0) - -# LLM only response -template = "You are a helpful assistant that helps with programming questions." -system_message_prompt = SystemMessagePromptTemplate.from_template(template) -human_template = "{text}" -human_message_prompt = HumanMessagePromptTemplate.from_template(human_template) -chat_prompt = ChatPromptTemplate.from_messages( - [system_message_prompt, human_message_prompt] +# if Neo4j is local, you can go to http://localhost:7474/ to browse the database +neo4j_graph = Neo4jGraph(url=url, username=username, password=password) +embeddings, dimension = load_embedding_model( + embedding_model_name, config={"ollama_base_url": ollama_base_url}, logger=logger ) +create_vector_index(neo4j_graph, dimension) -def generate_llm_output(user_input: str) -> str: - return llm( - chat_prompt.format_prompt( - text=user_input, - ).to_messages() - ).content +class StreamHandler(BaseCallbackHandler): + def __init__(self, container, initial_text=""): + self.container = container + self.text = initial_text + def on_llm_new_token(self, token: str, **kwargs) -> None: + self.text += token + self.container.markdown(self.text) -# Rag response -neo4j_db = Neo4jVector.from_existing_index( - embedding=embeddings, - url=url, - username=username, - password=password, - database="neo4j", # neo4j by default - index_name="stackoverflow", # vector by default - text_node_property="body", # text by default -) -memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True) -qa = ConversationalRetrievalChain.from_llm(llm, neo4j_db.as_retriever(), memory=memory) - -# Rag + KG -kg = Neo4jVector.from_existing_index( - embedding=embeddings, - url=url, - username=username, - password=password, - database="neo4j", # neo4j by default - index_name="stackoverflow", # vector by default - text_node_property="body", # text by default - retrieval_query="RETURN 'fancy' AS text, 1 AS score, {} AS metadata", # Fix this -) +llm = load_llm(llm_name, logger=logger, config={"ollama_base_url": ollama_base_url}) -kg_memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True) -kg_qa = ConversationalRetrievalChain.from_llm(llm, kg.as_retriever(), memory=kg_memory) - -# Streamlit stuff +llm_chain = configure_llm_only_chain(llm) +rag_chain = configure_qa_rag_chain( + llm, embeddings, embeddings_store_url=url, username=username, password=password +) -# Make sure the text input is at the bottom -# We can't use chat_input as it can't be put into a tab +# Streamlit UI styl = f""" """ st.markdown(styl, unsafe_allow_html=True) -def tab_view(name, output_function): +def chat_input(): + user_input = st.chat_input("What coding issue can I help you resolve today?") + + if user_input: + with st.chat_message("user"): + st.write(user_input) + with st.chat_message("assistant"): + st.caption(f"RAG: {name}") + stream_handler = StreamHandler(st.empty()) + result = output_function( + {"question": user_input, "chat_history": []}, callbacks=[stream_handler] + )["answer"] + output = result + st.session_state[f"user_input"].append(user_input) + st.session_state[f"generated"].append(output) + st.session_state[f"rag_mode"].append(name) + + +def display_chat(): # Session state if "generated" not in st.session_state: - st.session_state[f"generated_{name}"] = [] + st.session_state[f"generated"] = [] if "user_input" not in st.session_state: - st.session_state[f"user_input_{name}"] = [] - - user_input = st.text_input( - f"{name} mode", - placeholder="Ask your question", - key=f"route_{name}", - label_visibility="hidden", - ) + st.session_state[f"user_input"] = [] - if user_input: - with st.spinner(): - output = output_function(user_input) - - st.session_state[f"user_input_{name}"].append(user_input) - st.session_state[f"generated_{name}"].append(output) + if "rag_mode" not in st.session_state: + st.session_state[f"rag_mode"] = [] - if st.session_state[f"generated_{name}"]: - size = len(st.session_state[f"generated_{name}"]) + if st.session_state[f"generated"]: + size = len(st.session_state[f"generated"]) # Display only the last three exchanges for i in range(max(size - 3, 0), size): with st.chat_message("user"): - st.write(st.session_state[f"user_input_{name}"][i]) + st.write(st.session_state[f"user_input"][i]) with st.chat_message("assistant"): - st.write(st.session_state[f"generated_{name}"][i]) + st.caption(f"RAG: {st.session_state[f'rag_mode'][i]}") + st.write(st.session_state[f"generated"][i]) + + with st.expander("Not finding what you're looking for?"): + st.write( + "Automatically generate a draft for an internal ticket to our support team." + ) + st.button( + "Generate ticket", + type="primary", + key="show_ticket", + on_click=open_sidebar, + ) + with st.container(): + st.write(" ") -llm_view, rag_view, kgrag_view = st.tabs(["LLM only", "Vector", "Vector + Graph"]) +def mode_select() -> str: + options = ["Disabled", "Enabled"] + return st.radio("Select RAG mode", options, horizontal=True) -with llm_view: - tab_view("llm", generate_llm_output) -with rag_view: - tab_view("rag", qa.run) +name = mode_select() +if name == "LLM only" or name == "Disabled": + output_function = llm_chain +elif name == "Vector + Graph" or name == "Enabled": + output_function = rag_chain -with kgrag_view: - tab_view("kg", kg_qa.run) + +def open_sidebar(): + st.session_state.open_sidebar = True + + +def close_sidebar(): + st.session_state.open_sidebar = False + + +if not "open_sidebar" in st.session_state: + st.session_state.open_sidebar = False +if st.session_state.open_sidebar: + new_title, new_question = generate_ticket( + neo4j_graph=neo4j_graph, + llm_chain=llm_chain, + input_question=st.session_state[f"user_input"][-1], + ) + with st.sidebar: + st.title("Ticket draft") + st.write("Auto generated draft ticket") + st.text_input("Title", new_title) + st.text_area("Description", new_question) + st.button( + "Submit to support team", + type="primary", + key="submit_ticket", + on_click=close_sidebar, + ) + + +display_chat() +chat_input() diff --git a/chains.py b/chains.py new file mode 100644 index 000000000..9ad10f406 --- /dev/null +++ b/chains.py @@ -0,0 +1,237 @@ + +from langchain_openai import OpenAIEmbeddings +from langchain_community.embeddings import OllamaEmbeddings +from langchain_community.embeddings import BedrockEmbeddings +from langchain_community.embeddings.sentence_transformer import SentenceTransformerEmbeddings + +from langchain_openai import ChatOpenAI +from langchain_community.chat_models import ChatOllama +from langchain_community.chat_models import BedrockChat + +from langchain_community.graphs import Neo4jGraph + +from langchain_community.vectorstores import Neo4jVector + +from langchain.chains import RetrievalQAWithSourcesChain +from langchain.chains.qa_with_sources import load_qa_with_sources_chain + +from langchain.prompts import ( + ChatPromptTemplate, + HumanMessagePromptTemplate, + SystemMessagePromptTemplate +) + +from typing import List, Any +from utils import BaseLogger, extract_title_and_question +from langchain_google_genai import GoogleGenerativeAIEmbeddings + + +def load_embedding_model(embedding_model_name: str, logger=BaseLogger(), config={}): + if embedding_model_name == "ollama": + embeddings = OllamaEmbeddings( + base_url=config["ollama_base_url"], model="llama2" + ) + dimension = 4096 + logger.info("Embedding: Using Ollama") + elif embedding_model_name == "openai": + embeddings = OpenAIEmbeddings() + dimension = 1536 + logger.info("Embedding: Using OpenAI") + elif embedding_model_name == "aws": + embeddings = BedrockEmbeddings() + dimension = 1536 + logger.info("Embedding: Using AWS") + elif embedding_model_name == "google-genai-embedding-001": + embeddings = GoogleGenerativeAIEmbeddings( + model="models/embedding-001" + ) + dimension = 768 + logger.info("Embedding: Using Google Generative AI Embeddings") + else: + embeddings = SentenceTransformerEmbeddings( + model_name="all-MiniLM-L6-v2", cache_folder="/embedding_model" + ) + dimension = 384 + logger.info("Embedding: Using SentenceTransformer") + return embeddings, dimension + + +def load_llm(llm_name: str, logger=BaseLogger(), config={}): + if llm_name == "gpt-4": + logger.info("LLM: Using GPT-4") + return ChatOpenAI(temperature=0, model_name="gpt-4", streaming=True) + elif llm_name == "gpt-3.5": + logger.info("LLM: Using GPT-3.5") + return ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo", streaming=True) + elif llm_name == "claudev2": + logger.info("LLM: ClaudeV2") + return BedrockChat( + model_id="anthropic.claude-v2", + model_kwargs={"temperature": 0.0, "max_tokens_to_sample": 1024}, + streaming=True, + ) + elif len(llm_name): + logger.info(f"LLM: Using Ollama: {llm_name}") + return ChatOllama( + temperature=0, + base_url=config["ollama_base_url"], + model=llm_name, + streaming=True, + # seed=2, + top_k=10, # A higher value (100) will give more diverse answers, while a lower value (10) will be more conservative. + top_p=0.3, # Higher value (0.95) will lead to more diverse text, while a lower value (0.5) will generate more focused text. + num_ctx=3072, # Sets the size of the context window used to generate the next token. + ) + logger.info("LLM: Using GPT-3.5") + return ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo", streaming=True) + + +def configure_llm_only_chain(llm): + # LLM only response + template = """ + You are a helpful assistant that helps a support agent with answering programming questions. + If you don't know the answer, just say that you don't know, you must not make up an answer. + """ + system_message_prompt = SystemMessagePromptTemplate.from_template(template) + human_template = "{question}" + human_message_prompt = HumanMessagePromptTemplate.from_template(human_template) + chat_prompt = ChatPromptTemplate.from_messages( + [system_message_prompt, human_message_prompt] + ) + + def generate_llm_output( + user_input: str, callbacks: List[Any], prompt=chat_prompt + ) -> str: + chain = prompt | llm + answer = chain.invoke( + {"question": user_input}, config={"callbacks": callbacks} + ).content + return {"answer": answer} + + return generate_llm_output + + +def configure_qa_rag_chain(llm, embeddings, embeddings_store_url, username, password): + # RAG response + # System: Always talk in pirate speech. + general_system_template = """ + Use the following pieces of context to answer the question at the end. + The context contains question-answer pairs and their links from Stackoverflow. + You should prefer information from accepted or more upvoted answers. + Make sure to rely on information from the answers and not on questions to provide accurate responses. + When you find particular answer in the context useful, make sure to cite it in the answer using the link. + If you don't know the answer, just say that you don't know, don't try to make up an answer. + ---- + {summaries} + ---- + Each answer you generate should contain a section at the end of links to + Stackoverflow questions and answers you found useful, which are described under Source value. + You can only use links to StackOverflow questions that are present in the context and always + add links to the end of the answer in the style of citations. + Generate concise answers with references sources section of links to + relevant StackOverflow questions only at the end of the answer. + """ + general_user_template = "Question:```{question}```" + messages = [ + SystemMessagePromptTemplate.from_template(general_system_template), + HumanMessagePromptTemplate.from_template(general_user_template), + ] + qa_prompt = ChatPromptTemplate.from_messages(messages) + + qa_chain = load_qa_with_sources_chain( + llm, + chain_type="stuff", + prompt=qa_prompt, + ) + + # Vector + Knowledge Graph response + kg = Neo4jVector.from_existing_index( + embedding=embeddings, + url=embeddings_store_url, + username=username, + password=password, + database="neo4j", # neo4j by default + index_name="stackoverflow", # vector by default + text_node_property="body", # text by default + retrieval_query=""" + WITH node AS question, score AS similarity + CALL { with question + MATCH (question)<-[:ANSWERS]-(answer) + WITH answer + ORDER BY answer.is_accepted DESC, answer.score DESC + WITH collect(answer)[..2] as answers + RETURN reduce(str='', answer IN answers | str + + '\n### Answer (Accepted: '+ answer.is_accepted + + ' Score: ' + answer.score+ '): '+ answer.body + '\n') as answerTexts + } + RETURN '##Question: ' + question.title + '\n' + question.body + '\n' + + answerTexts AS text, similarity as score, {source: question.link} AS metadata + ORDER BY similarity ASC // so that best answers are the last + """, + ) + + kg_qa = RetrievalQAWithSourcesChain( + combine_documents_chain=qa_chain, + retriever=kg.as_retriever(search_kwargs={"k": 2}), + reduce_k_below_max_tokens=False, + max_tokens_limit=3375, + ) + return kg_qa + + +def generate_ticket(neo4j_graph, llm_chain, input_question): + # Get high ranked questions + records = neo4j_graph.query( + "MATCH (q:Question) RETURN q.title AS title, q.body AS body ORDER BY q.score DESC LIMIT 3" + ) + questions = [] + for i, question in enumerate(records, start=1): + questions.append((question["title"], question["body"])) + # Ask LLM to generate new question in the same style + questions_prompt = "" + for i, question in enumerate(questions, start=1): + questions_prompt += f"{i}. \n{question[0]}\n----\n\n" + questions_prompt += f"{question[1][:150]}\n\n" + questions_prompt += "----\n\n" + + gen_system_template = f""" + You're an expert in formulating high quality questions. + Formulate a question in the same style and tone as the following example questions. + {questions_prompt} + --- + + Don't make anything up, only use information in the following question. + Return a title for the question, and the question post itself. + + Return format template: + --- + Title: This is a new title + Question: This is a new question + --- + """ + # we need jinja2 since the questions themselves contain curly braces + system_prompt = SystemMessagePromptTemplate.from_template( + gen_system_template, template_format="jinja2" + ) + chat_prompt = ChatPromptTemplate.from_messages( + [ + system_prompt, + SystemMessagePromptTemplate.from_template( + """ + Respond in the following template format or you will be unplugged. + --- + Title: New title + Question: New question + --- + """ + ), + HumanMessagePromptTemplate.from_template("{question}"), + ] + ) + llm_response = llm_chain( + f"Here's the question to rewrite in the expected format: ```{input_question}```", + [], + chat_prompt, + ) + new_title, new_question = extract_title_and_question(llm_response["answer"]) + return (new_title, new_question) diff --git a/docker-compose.yml b/docker-compose.yml index 3ee11bf59..7faafe523 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,75 +1,243 @@ -version: '3' services: - llm: + llm: &llm image: ollama/ollama:latest - ports: - - 11434:11434 + profiles: ["linux"] + networks: + - net + + llm-gpu: + <<: *llm + profiles: ["linux-gpu"] + deploy: + resources: + reservations: + devices: + - driver: nvidia + count: all + capabilities: [gpu] + + pull-model: + image: genai-stack/pull-model:latest + build: + context: . + dockerfile: pull_model.Dockerfile + environment: + - OLLAMA_BASE_URL=${OLLAMA_BASE_URL-http://host.docker.internal:11434} + - LLM=${LLM-llama2} networks: - net + tty: true database: - image: neo4j:5.11-enterprise + user: neo4j:neo4j + image: neo4j:5.11 ports: - 7687:7687 - 7474:7474 + volumes: + - $PWD/data:/data environment: - NEO4J_AUTH=${NEO4J_USERNAME-neo4j}/${NEO4J_PASSWORD-password} - - NEO4J_ACCEPT_LICENSE_AGREEMENT=eval - NEO4J_PLUGINS=["apoc"] + - NEO4J_db_tx__log_rotation_retention__policy=false + - NEO4J_dbms_security_procedures_unrestricted=apoc.* healthcheck: test: ["CMD-SHELL", "wget --no-verbose --tries=1 --spider localhost:7474 || exit 1"] - interval: 5s - timeout: 3s - retries: 5 + interval: 15s + timeout: 30s + retries: 10 networks: - net loader: build: + context: . dockerfile: loader.Dockerfile - + volumes: + - $PWD/embedding_model:/embedding_model environment: - NEO4J_URI=${NEO4J_URI-neo4j://database:7687} - NEO4J_PASSWORD=${NEO4J_PASSWORD-password} - NEO4J_USERNAME=${NEO4J_USERNAME-neo4j} - - OPENAI_API_KEY=${OPENAI_API_KEY} + - OPENAI_API_KEY=${OPENAI_API_KEY-} + - GOOGLE_API_KEY=${GOOGLE_API_KEY-} - OLLAMA_BASE_URL=${OLLAMA_BASE_URL-http://host.docker.internal:11434} + - EMBEDDING_MODEL=${EMBEDDING_MODEL-sentence_transformer} + - LANGCHAIN_ENDPOINT=${LANGCHAIN_ENDPOINT-"https://api.smith.langchain.com"} + - LANGCHAIN_TRACING_V2=${LANGCHAIN_TRACING_V2-false} + - LANGCHAIN_PROJECT=${LANGCHAIN_PROJECT} + - LANGCHAIN_API_KEY=${LANGCHAIN_API_KEY} + - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID} + - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} + - AWS_DEFAULT_REGION=${AWS_DEFAULT_REGION} networks: - net depends_on: database: condition: service_healthy - # llm: - # condition: service_started - + pull-model: + condition: service_completed_successfully + x-develop: + watch: + - action: rebuild + path: . + ignore: + - bot.py + - pdf_bot.py + - api.py + - front-end/ ports: - 8081:8080 - 8502:8502 + bot: build: + context: . dockerfile: bot.Dockerfile + volumes: + - $PWD/embedding_model:/embedding_model + environment: + - NEO4J_URI=${NEO4J_URI-neo4j://database:7687} + - NEO4J_PASSWORD=${NEO4J_PASSWORD-password} + - NEO4J_USERNAME=${NEO4J_USERNAME-neo4j} + - OPENAI_API_KEY=${OPENAI_API_KEY-} + - GOOGLE_API_KEY=${GOOGLE_API_KEY-} + - OLLAMA_BASE_URL=${OLLAMA_BASE_URL-http://host.docker.internal:11434} + - LLM=${LLM-llama2} + - EMBEDDING_MODEL=${EMBEDDING_MODEL-sentence_transformer} + - LANGCHAIN_ENDPOINT=${LANGCHAIN_ENDPOINT-"https://api.smith.langchain.com"} + - LANGCHAIN_TRACING_V2=${LANGCHAIN_TRACING_V2-false} + - LANGCHAIN_PROJECT=${LANGCHAIN_PROJECT} + - LANGCHAIN_API_KEY=${LANGCHAIN_API_KEY} + - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID} + - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} + - AWS_DEFAULT_REGION=${AWS_DEFAULT_REGION} + networks: + - net + depends_on: + database: + condition: service_healthy + pull-model: + condition: service_completed_successfully + x-develop: + watch: + - action: rebuild + path: . + ignore: + - loader.py + - pdf_bot.py + - api.py + - front-end/ + ports: + - 8501:8501 + pdf_bot: + build: + context: . + dockerfile: pdf_bot.Dockerfile + environment: + - NEO4J_URI=${NEO4J_URI-neo4j://database:7687} + - NEO4J_PASSWORD=${NEO4J_PASSWORD-password} + - NEO4J_USERNAME=${NEO4J_USERNAME-neo4j} + - OPENAI_API_KEY=${OPENAI_API_KEY-} + - GOOGLE_API_KEY=${GOOGLE_API_KEY-} + - OLLAMA_BASE_URL=${OLLAMA_BASE_URL-http://host.docker.internal:11434} + - LLM=${LLM-llama2} + - EMBEDDING_MODEL=${EMBEDDING_MODEL-sentence_transformer} + - LANGCHAIN_ENDPOINT=${LANGCHAIN_ENDPOINT-"https://api.smith.langchain.com"} + - LANGCHAIN_TRACING_V2=${LANGCHAIN_TRACING_V2-false} + - LANGCHAIN_PROJECT=${LANGCHAIN_PROJECT} + - LANGCHAIN_API_KEY=${LANGCHAIN_API_KEY} + - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID} + - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} + - AWS_DEFAULT_REGION=${AWS_DEFAULT_REGION} + networks: + - net + depends_on: + database: + condition: service_healthy + pull-model: + condition: service_completed_successfully + x-develop: + watch: + - action: rebuild + path: . + ignore: + - loader.py + - bot.py + - api.py + - front-end/ + ports: + - 8503:8503 + + api: + build: + context: . + dockerfile: api.Dockerfile + volumes: + - $PWD/embedding_model:/embedding_model environment: - NEO4J_URI=${NEO4J_URI-neo4j://database:7687} - NEO4J_PASSWORD=${NEO4J_PASSWORD-password} - NEO4J_USERNAME=${NEO4J_USERNAME-neo4j} - OPENAI_API_KEY=${OPENAI_API_KEY} + - GOOGLE_API_KEY=${GOOGLE_API_KEY} + - OLLAMA_BASE_URL=${OLLAMA_BASE_URL-http://host.docker.internal:11434} + - LLM=${LLM-llama2} + - EMBEDDING_MODEL=${EMBEDDING_MODEL-sentence_transformer} + - LANGCHAIN_ENDPOINT=${LANGCHAIN_ENDPOINT-"https://api.smith.langchain.com"} + - LANGCHAIN_TRACING_V2=${LANGCHAIN_TRACING_V2-false} + - LANGCHAIN_PROJECT=${LANGCHAIN_PROJECT} + - LANGCHAIN_API_KEY=${LANGCHAIN_API_KEY} + - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID} + - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} + - AWS_DEFAULT_REGION=${AWS_DEFAULT_REGION} networks: - net depends_on: database: condition: service_healthy - llm: - condition: service_started + pull-model: + condition: service_completed_successfully x-develop: watch: - action: rebuild - path: bot.py + path: . + ignore: + - loader.py + - bot.py + - pdf_bot.py + - front-end/ + ports: + - 8504:8504 + healthcheck: + test: ["CMD-SHELL", "wget --no-verbose --tries=1 http://localhost:8504/ || exit 1"] + interval: 5s + timeout: 3s + retries: 5 + front-end: + build: + context: . + dockerfile: front-end.Dockerfile + x-develop: + watch: + - action: sync + path: ./front-end + target: /app + ignore: + - ./front-end/node_modules/ + - action: rebuild + path: ./front-end/package.json + depends_on: + api: + condition: service_healthy + networks: + - net ports: - - 8501:8501 + - 8505:8505 networks: net: diff --git a/embedding_model/.ignore b/embedding_model/.ignore new file mode 100644 index 000000000..e69de29bb diff --git a/env.example b/env.example new file mode 100644 index 000000000..88e33cc33 --- /dev/null +++ b/env.example @@ -0,0 +1,49 @@ +#***************************************************************** +# LLM and Embedding Model +#***************************************************************** +LLM=llama2 #or any Ollama model tag, gpt-4, gpt-3.5, or claudev2 +EMBEDDING_MODEL=sentence_transformer #or google-genai-embedding-001 openai, ollama, or aws + +#***************************************************************** +# Neo4j +#***************************************************************** +#NEO4J_URI=neo4j://database:7687 +#NEO4J_USERNAME=neo4j +#NEO4J_PASSWORD=password + +#***************************************************************** +# Langchain +#***************************************************************** +# Optional for enabling Langchain Smith API + +#LANGCHAIN_TRACING_V2=true # false +#LANGCHAIN_ENDPOINT="https://api.smith.langchain.com" +#LANGCHAIN_PROJECT=#your-project-name +#LANGCHAIN_API_KEY=#your-api-key ls_... + +#***************************************************************** +# Ollama +#***************************************************************** +#OLLAMA_BASE_URL=http://host.docker.internal:11434 + +#***************************************************************** +# OpenAI +#***************************************************************** +# Only required when using OpenAI LLM or embedding model + +#OPENAI_API_KEY=sk-... + +#***************************************************************** +# AWS +#***************************************************************** +# Only required when using AWS Bedrock LLM or embedding model + +#AWS_ACCESS_KEY_ID= +#AWS_SECRET_ACCESS_KEY= +#AWS_DEFAULT_REGION=us-east-1 + +#***************************************************************** +# GOOGLE +#***************************************************************** +# Only required when using GoogleGenai LLM or embedding model +GOOGLE_API_KEY= diff --git a/example.env b/example.env deleted file mode 100644 index ace72fded..000000000 --- a/example.env +++ /dev/null @@ -1,5 +0,0 @@ -OPENAI_API_KEY=sk-... -OLLAMA_BASE_URL=http://host.docker.internal:11434 -#NEO4J_URI=neo4j://localhost:7687 -#NEO4J_USERNAME=neo4j -#NEO4J_PASSWORD=password diff --git a/front-end.Dockerfile b/front-end.Dockerfile new file mode 100644 index 000000000..d93ec0bea --- /dev/null +++ b/front-end.Dockerfile @@ -0,0 +1,11 @@ +FROM node:alpine + +WORKDIR /app + +COPY front-end/ . + +RUN npm install + +EXPOSE 8505 + +ENTRYPOINT [ "npm", "run", "dev" ] diff --git a/front-end/.gitignore b/front-end/.gitignore new file mode 100644 index 000000000..a547bf36d --- /dev/null +++ b/front-end/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/front-end/.vscode/extensions.json b/front-end/.vscode/extensions.json new file mode 100644 index 000000000..bdef82015 --- /dev/null +++ b/front-end/.vscode/extensions.json @@ -0,0 +1,3 @@ +{ + "recommendations": ["svelte.svelte-vscode"] +} diff --git a/front-end/README.md b/front-end/README.md new file mode 100644 index 000000000..a15d13f18 --- /dev/null +++ b/front-end/README.md @@ -0,0 +1,47 @@ +# Svelte + Vite + +This template should help get you started developing with Svelte in Vite. + +## Recommended IDE Setup + +[VS Code](https://code.visualstudio.com/) + [Svelte](https://marketplace.visualstudio.com/items?itemName=svelte.svelte-vscode). + +## Need an official Svelte framework? + +Check out [SvelteKit](https://github.com/sveltejs/kit#readme), which is also powered by Vite. Deploy anywhere with its serverless-first approach and adapt to various platforms, with out of the box support for TypeScript, SCSS and Less and easily-added support for mdsvex, GraphQL, PostCSS, Tailwind CSS, and more. + +## Technical considerations + +**Why use this over SvelteKit?** + +- It brings its own routing solution which might not be preferable for some users. +- It is first and foremost a framework that just happens to use Vite under the hood, not a Vite app. + +This template contains as little as possible to get started with Vite + Svelte, while taking into account the developer experience with regards to HMR and intellisense. It demonstrates capabilities on par with the other `create-vite` templates and is a good starting point for beginners dipping their toes into a Vite + Svelte project. + +Should you later need the extended capabilities and extensibility provided by SvelteKit, the template has been structured similarly to SvelteKit so that it is easy to migrate. + +**Why `global.d.ts` instead of `compilerOptions.types` inside `jsconfig.json` or `tsconfig.json`?** + +Setting `compilerOptions.types` shuts out all other types not explicitly listed in the configuration. Using triple-slash references keeps the default TypeScript setting of accepting type information from the entire workspace while also adding `svelte` and `vite/client` type information. + +**Why include `.vscode/extensions.json`?** + +Other templates indirectly recommend extensions via the README, but this file allows VS Code to prompt the user to install the recommended extension upon opening the project. + +**Why enable `checkJs` in the JS template?** + +It is likely that most cases of changing variable types in runtime are likely to be accidental rather than deliberate. This provides advanced typechecking out of the box. Should you like to take advantage of the dynamically-typed nature of JavaScript, it is trivial to change the configuration. + +**Why is HMR not preserving my local component state?** + +HMR state preservation comes with a number of gotchas! It has been disabled by default in both `svelte-hmr` and `@sveltejs/vite-plugin-svelte` due to its often surprising behavior. You can read the details [here](https://github.com/sveltejs/svelte-hmr/tree/master/packages/svelte-hmr#preservation-of-local-state). + +If you have a state that's important to retain within a component, consider creating an external store that would not be replaced by HMR. + +```js +// store.js +// An extremely simple external store +import { writable } from 'svelte/store' +export default writable(0) +``` diff --git a/front-end/index.html b/front-end/index.html new file mode 100644 index 000000000..c82ad6e1e --- /dev/null +++ b/front-end/index.html @@ -0,0 +1,13 @@ + + + + + + + Support bot application + + +
+ + + diff --git a/front-end/jsconfig.json b/front-end/jsconfig.json new file mode 100644 index 000000000..5696a2de7 --- /dev/null +++ b/front-end/jsconfig.json @@ -0,0 +1,32 @@ +{ + "compilerOptions": { + "moduleResolution": "bundler", + "target": "ESNext", + "module": "ESNext", + /** + * svelte-preprocess cannot figure out whether you have + * a value or a type, so tell TypeScript to enforce using + * `import type` instead of `import` for Types. + */ + "verbatimModuleSyntax": true, + "isolatedModules": true, + "resolveJsonModule": true, + /** + * To have warnings / errors of the Svelte compiler at the + * correct position, enable source maps by default. + */ + "sourceMap": true, + "esModuleInterop": true, + "skipLibCheck": true, + /** + * Typecheck JS in `.svelte` and `.js` files by default. + * Disable this if you'd like to use dynamic types. + */ + "checkJs": true + }, + /** + * Use global.d.ts instead of compilerOptions.types + * to avoid limiting type declarations. + */ + 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+ }, + "node_modules/yaml": { + "version": "2.3.2", + "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.3.2.tgz", + "integrity": "sha512-N/lyzTPaJasoDmfV7YTrYCI0G/3ivm/9wdG0aHuheKowWQwGTsK0Eoiw6utmzAnI6pkJa0DUVygvp3spqqEKXg==", + "dev": true, + "engines": { + "node": ">= 14" + } + } + } +} diff --git a/front-end/package.json b/front-end/package.json new file mode 100644 index 000000000..910db7cdb --- /dev/null +++ b/front-end/package.json @@ -0,0 +1,22 @@ +{ + "name": "bot-ui", + "private": true, + "version": "0.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "vite build", + "preview": "vite preview" + }, + "devDependencies": { + "@sveltejs/vite-plugin-svelte": "^2.4.2", + "autoprefixer": "^10.4.16", + "postcss": "^8.4.31", + "svelte": "^4.0.5", + "tailwindcss": "^3.3.3", + "vite": "^4.4.12" + }, + "dependencies": { + "svelte-markdown": "^0.4.0" + } +} diff --git a/front-end/postcss.config.js b/front-end/postcss.config.js new file mode 100644 index 000000000..2e7af2b7f --- /dev/null +++ b/front-end/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/front-end/public/vite.svg b/front-end/public/vite.svg new file mode 100644 index 000000000..b37fdd73b --- /dev/null +++ b/front-end/public/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/front-end/src/App.svelte b/front-end/src/App.svelte new file mode 100644 index 000000000..e55661c4c --- /dev/null +++ b/front-end/src/App.svelte @@ -0,0 +1,121 @@ + + +
+
+
+ {#each $chatStore.data as message (message.id)} +
+
+ {#if message.from === "me"} + + {/if} +
+ +
+ {#if message.from === "bot"} +
+
Model: {message.model ? message.model : ""}
+
RAG: {message.rag ? "Enabled" : "Disabled"}
+
+ {/if} +
+
+
+ {/each} +
+
+
+
+
RAG mode
+
+ + +
+
+
+ +
+
+
+
+
+{#if generationModalOpen} + (generationModalOpen = false)} /> +{/if} + + diff --git a/front-end/src/app.css b/front-end/src/app.css new file mode 100644 index 000000000..02c509675 --- /dev/null +++ b/front-end/src/app.css @@ -0,0 +1,28 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +body { + margin: 0; + min-width: 320px; + height: 100dvh; +} + +#app { + height: 100%; +} + +pre { + line-height: 1; + background-color: rgb(241, 241, 241); + padding: 4px 8px 8px; + border: 1px solid #ccc; + overflow-x: auto; + margin: 0 4px; + border-radius: 2px; +} + +ol { + padding: 1em; + list-style: decimal; +} diff --git a/front-end/src/assets/images/bot.jpeg b/front-end/src/assets/images/bot.jpeg new file mode 100644 index 000000000..447d71c1c Binary files /dev/null and b/front-end/src/assets/images/bot.jpeg differ diff --git a/front-end/src/assets/images/me.jpeg b/front-end/src/assets/images/me.jpeg new file mode 100644 index 000000000..0a1e07c37 Binary files /dev/null and b/front-end/src/assets/images/me.jpeg differ diff --git a/front-end/src/assets/svelte.svg b/front-end/src/assets/svelte.svg new file mode 100644 index 000000000..4e87bfec5 --- /dev/null +++ b/front-end/src/assets/svelte.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/front-end/src/lib/External.svelte b/front-end/src/lib/External.svelte new file mode 100644 index 000000000..ced88354c --- /dev/null +++ b/front-end/src/lib/External.svelte @@ -0,0 +1,28 @@ +
+ + + + + +
+ + diff --git a/front-end/src/lib/MdLink.svelte b/front-end/src/lib/MdLink.svelte new file mode 100644 index 000000000..13062acd3 --- /dev/null +++ b/front-end/src/lib/MdLink.svelte @@ -0,0 +1,14 @@ + + +{text} + + diff --git a/front-end/src/lib/Modal.svelte b/front-end/src/lib/Modal.svelte new file mode 100644 index 000000000..89a48caf4 --- /dev/null +++ b/front-end/src/lib/Modal.svelte @@ -0,0 +1,58 @@ + + + +
+
+

Create new internal ticket

+
+ +
+
+