Added a release notes

docs/guides/start_chat.md

@@ -46,7 +46,7 @@ You start an AI conversation by creating an assistant.
 4. Update **Model Setting**:
 
    - In **Model**: you select the chat model. Though you have selected the default chat model in **System Model Settings**, RAGFlow allows you to choose an alternative chat model for your dialogue.
-   - **Freedom** refers to the level that the LLM improvises. From **Improvise**, **Precise**, to **Balance**, each freedom level corresponds to a unique combination of **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**.
+   - **Preset configurations** refers to the level that the LLM improvises. From **Improvise**, **Precise**, to **Balance**, each preset configuration corresponds to a unique combination of **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**.
    - **Temperature**: Level of the prediction randomness of the LLM. The higher the value, the more creative the LLM is.
    - **Top P** is also known as "nucleus sampling". See [here](https://en.wikipedia.org/wiki/Top-p_sampling) for more information.
    - **Max Tokens**: The maximum length of the LLM's responses. Note that the responses may be curtailed if this value is set too low.

docs/references/agent_component_reference/categorize.mdx

@@ -33,13 +33,13 @@ Click the dropdown menu of **Model** to show the model configuration window.
 - **Model**: The chat model to use.  
   - Ensure you set the chat model correctly on the **Model providers** page.
   - You can use different models for different components to increase flexibility or improve overall performance.
-- **Freedom**: A shortcut to **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty** settings, indicating the freedom level of the model.  
-  This parameter has three options:
+- **Preset configurations**: A shortcut to **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty** settings, indicating the freedom level of the model. From **Improvise**, **Precise**, to **Balance**, each preset configuration corresponds to a unique combination of **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**.  
+  This parameter has three options:  
   - **Improvise**: Produces more creative responses.
   - **Precise**: (Default) Produces more conservative responses.
   - **Balance**: A middle ground between **Improvise** and **Precise**.
 - **Temperature**: The randomness level of the model's output.  
-  Defaults to 0.1.
+  Defaults to 0.1.  
   - Lower values lead to more deterministic and predictable outputs.
   - Higher values lead to more creative and varied outputs.
   - A temperature of zero results in the same output for the same prompt.
@@ -58,7 +58,7 @@ Click the dropdown menu of **Model** to show the model configuration window.
 
 :::tip NOTE
 - It is not necessary to stick with the same model for all components. If a specific model is not performing well for a particular task, consider using a different one.
-- If you are uncertain about the mechanism behind **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**, you can simply choose one of the three options of **Freedom**.
+- If you are uncertain about the mechanism behind **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**, simply choose one of the three options of **Preset configurations**.
 :::
 
 ### Message window size

docs/references/agent_component_reference/generate.mdx

@@ -24,7 +24,7 @@ Click the dropdown menu of **Model** to show the model configuration window.
 - **Model**: The chat model to use.  
   - Ensure you set the chat model correctly on the **Model providers** page.
   - You can use different models for different components to increase flexibility or improve overall performance.
-- **Freedom**: A shortcut to **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty** settings, indicating the freedom level of the model.  
+- **Preset configurations**: A shortcut to **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty** settings, indicating the freedom level of the model. From **Improvise**, **Precise**, to **Balance**, each preset configuration corresponds to a unique combination of **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**.   
   This parameter has three options:
   - **Improvise**: Produces more creative responses.
   - **Precise**: (Default) Produces more conservative responses.
@@ -49,7 +49,7 @@ Click the dropdown menu of **Model** to show the model configuration window.
 
 :::tip NOTE
 - It is not necessary to stick with the same model for all components. If a specific model is not performing well for a particular task, consider using a different one.
-- If you are uncertain about the mechanism behind **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**, you can simply choose one of the three options of **Freedom**.
+- If you are uncertain about the mechanism behind **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**, simply choose one of the three options of **Preset configurations**.
 :::
 
 ### System prompt

docs/references/agent_component_reference/keyword.mdx

@@ -34,7 +34,7 @@ Click the dropdown menu of **Model** to show the model configuration window.
 - **Model**: The chat model to use.  
   - Ensure you set the chat model correctly on the **Model providers** page.
   - You can use different models for different components to increase flexibility or improve overall performance.
-- **Freedom**: A shortcut to **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty** settings, indicating the freedom level of the model.  
+- **Preset configurations**: A shortcut to **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty** settings, indicating the freedom level of the model. From **Improvise**, **Precise**, to **Balance**, each preset configuration corresponds to a unique combination of **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**.   
   This parameter has three options:
   - **Improvise**: Produces more creative responses.
   - **Precise**: (Default) Produces more conservative responses.
@@ -59,7 +59,7 @@ Click the dropdown menu of **Model** to show the model configuration window.
 
 :::tip NOTE
 - It is not necessary to stick with the same model for all components. If a specific model is not performing well for a particular task, consider using a different one.
-- If you are uncertain about the mechanism behind **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**, you can simply choose one of the three options of **Freedom**.
+- If you are uncertain about the mechanism behind **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**, simply choose one of the three options of **Preset**.
 :::
 
 

docs/references/agent_component_reference/rewrite.mdx

@@ -32,7 +32,7 @@ Click the dropdown menu of **Model** to show the model configuration window.
 - **Model**: The chat model to use.  
   - Ensure you set the chat model correctly on the **Model providers** page.
   - You can use different models for different components to increase flexibility or improve overall performance.
-- **Freedom**: A shortcut to **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty** settings, indicating the freedom level of the model.  
+- **Preset configurations**: A shortcut to **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty** settings, indicating the freedom level of the model. From **Improvise**, **Precise**, to **Balance**, each preset configuration corresponds to a unique combination of **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**.   
   This parameter has three options:
   - **Improvise**: Produces more creative responses.
   - **Precise**: (Default) Produces more conservative responses.
@@ -57,7 +57,7 @@ Click the dropdown menu of **Model** to show the model configuration window.
 
 :::tip NOTE
 - It is not necessary to stick with the same model for all components. If a specific model is not performing well for a particular task, consider using a different one.
-- If you are uncertain about the mechanism behind **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**, you can simply choose one of the three options of **Freedom**.
+- If you are uncertain about the mechanism behind **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**, simply choose one of the three options of **Preset configurations**.
 :::
 
 

docs/release_notes.md

@@ -7,6 +7,42 @@ slug: /release_notes
 
 Key features, improvements and bug fixes in the latest releases.
 
+## v0.16.0
+
+Released on February 6, 2025.
+
+### New features
+
+- Supports DeepSeek R1 and DeepSeek V3.
+- GraphRAG refactor: Knowledge graph is dynamically built on an entire knowledge base (dataset) rather than on an individual file, and automatically updated when files are added or removed.
+- Adds an **Iteration** agent component and a **Research report generator** agent template.
+- New UI language: Portuguese.
+- Allows setting metadata for a specific file in a knowledge base to support AI-powered chats.
+- Upgrades RAGFlow's document engine [Infinity](https://github.com/infiniflow/infinity) to v0.6.0.dev3.
+- Supports creating and referencing a **Tag** knowledge base as a key milestone towards bridging the semantic gap between query and response.
+
+:::danger IMPORTANT
+The **Tag knowledge base** feature is *unavailable* on the [Infinity](https://github.com/infiniflow/infinity) document engine.
+:::
+
+### Documentation
+
+#### Added documents
+
+- [Begin component](https://ragflow.io/docs/dev/begin_component)
+- [Generate component](https://ragflow.io/docs/dev/generate_component)
+- [Interact component](https://ragflow.io/docs/dev/interact_component)
+- [Retrieval component](https://ragflow.io/docs/dev/retrieval_component)
+- [Categorize component](https://ragflow.io/docs/dev/categorize_component)
+- [Keyword component](https://ragflow.io/docs/dev/keyword_component)
+- [Message component](https://ragflow.io/docs/dev/message_component)
+- [Rewrite component](https://ragflow.io/docs/dev/rewrite_component)
+- [Switch component](https://ragflow.io/docs/dev/switch_component)
+- [Concentrator component](https://ragflow.io/docs/dev/concentrator_component)
+- [Template component](https://ragflow.io/docs/dev/template_component)
+- [Iteration component](https://ragflow.io/docs/dev/iteration_component)
+- [Note component](https://ragflow.io/docs/dev/note_component)
+
 ## v0.15.1
 
 Released on December 25, 2024.

web/src/locales/en.ts

@@ -160,7 +160,7 @@ export default {
       rerankPlaceholder: 'Please select',
       rerankTip: `If left empty, RAGFlow will use a combination of weighted keyword similarity and weighted vector cosine similarity; if a rerank model is selected, a weighted reranking score will replace the weighted vector cosine similarity. Please be aware that using a rerank model will significantly increase the system's response time.`,
       topK: 'Top-K',
-      topKTip: `K chunks will be fed into rerank models.`,
+      topKTip: `K chunks will be sent into the rerank model.`,
       delimiter: `Delimiters`,
       delimiterTip:
         'A delimiter or separator can consist of one or multiple special characters. If it is multiple characters, ensure they are enclosed in backticks( ``). For example, if you configure your delimiters like this: \n`##`;, then your texts will be separated at line breaks, double hash symbols (##), or semicolons.',