2024-08-22 (v0.11.0)

llama-index-core [0.11.0]

• removed deprecated ServiceContext -- using this now will print an error with a link to the migration guide
• removed deprecated LLMPredictor -- using this now will print an error, any existing LLM is a drop-in replacement
• made pandas an optional dependency
• moved to pydanticV2 officially with full support

Everything Else

• bumped the minor version of every package to account for the new version of llama-index-core

2024-08-21 (v0.10.68)

llama-index-core [0.10.68]

• remove nested progress bars in base element node parser (#15550)
• Adding exhaustive docs for workflows (#15556)
• Adding multi-strategy workflow with reflection notebook example (#15445)
• remove openai dep from core (#15527)
• Improve token counter to handle more response types (#15501)
• feat: Allow using step decorator without parentheses (#15540)
• feat: workflow services (aka nested workflows) (#15325)
• Remove requirement to specify "allowed_query_fields" parameter when using "cypher_validator" in TextToCypher retriever (#15506)

llama-index-embeddings-mistralai [0.1.6]

• fix mistral embeddings usage (#15508)

llama-index-embeddings-ollama [0.2.0]

• use ollama client for embeddings (#15478)

llama-index-embeddings-openvino [0.2.1]

• support static input shape for openvino embedding and reranker (#15521)

llama-index-graph-stores-neptune [0.1.8]

• Added code to expose structured schema for Neptune (#15507)

llama-index-llms-ai21 [0.3.2]

• Integration: AI21 Tools support (#15518)

llama-index-llms-bedrock [0.1.13]

• Support token counting for llama-index integration with bedrock (#15491)

llama-index-llms-cohere [0.2.2]

• feat: add tool calling support for achat cohere (#15539)

llama-index-llms-gigachat [0.1.0]

• Adding gigachat LLM support (#15313)

llama-index-llms-openai [0.1.31]

• Fix incorrect type in OpenAI token usage report (#15524)
• allow streaming token counts for openai (#15548)

llama-index-postprocessor-nvidia-rerank [0.2.1]

• add truncate support (#15490)
• Update to 0.2.0, remove old code (#15533)
• update default model to nvidia/nv-rerankqa-mistral-4b-v3 (#15543)

llama-index-readers-bitbucket [0.1.4]

• Fixing the issues in loading file paths from bitbucket (#15311)

llama-index-readers-google [0.3.1]

• enhance google drive reader for improved functionality and usability (#15512)

llama-index-readers-remote [0.1.6]

• check and sanitize remote reader urls (#15494)

llama-index-vector-stores-qdrant [0.2.17]

• fix: setting IDF modifier in QdrantVectorStore for sparse vectors (#15538)

v0.10.67.post1

v0.10.67.post1

v0.10.65

v0.10.65

v0.10.64

v0.10.64

v0.10.63

v0.10.63

v0.10.62

v0.10.62

v0.10.61

v0.10.61

2024-07-31 [v0.10.59]

llama-index-core [0.10.59]

• Introduce Workflows for event-driven orchestration (#15067)
• Added feature to context chat engine allowing previous chunks to be inserted into the current context window (#14889)
• MLflow Integration added to docs (#14977)
• docs(literalai): add Literal AI integration to documentation (#15023)
• expand span coverage for query pipeline (#14997)
• make re-raising error skip constructor during asyncio_run() (#14970)

llama-index-embeddings-ollama [0.1.3]

• Add proper async embedding support

llama-index-embeddings-textembed [0.0.1]

• add support for textembed embedding (#14968)

llama-index-graph-stores-falkordb [0.1.5]

• initial implementation FalkorDBPropertyGraphStore (#14936)

llama-index-llms-azure-inference [0.1.1]

• Fix: Azure AI inference integration support for tools (#15044)

llama-index-llms-fireworks [0.1.7]

• Updates to Default model for support for function calling (#15046)

llama-index-llms-ollama [0.2.2]

• toggle for ollama function calling (#14972)
• Add function calling for Ollama (#14948)

llama-index-llms-openllm [0.2.0]

• update to OpenLLM 0.6 (#14935)

llama-index-packs-longrag [0.1.0]

• Adds a LlamaPack that implements LongRAG (#14916)

llama-index-postprocessor-tei-rerank [0.1.0]

• Support for Re-Ranker via Text Embedding Interface (#15063)

llama-index-readers-confluence [0.1.7]

• confluence reader sort auth parameters priority (#14905)

llama-index-readers-file [0.1.31]

• UnstructuredReader use filename as ID (#14946)

llama-index-readers-gitlab [0.1.0]

• Add GitLab reader integration (#15030)

llama-index-readers-google [0.2.11]

• Fix issue with average ratings being a float vs an int (#15070)

llama-index-retrievers-bm25 [0.2.2]

• use proper stemmer in bm25 tokenize (#14965)

llama-index-vector-stores-azureaisearch [0.1.13]

• Fix issue with deleting non-existent index (#14949)

llama-index-vector-stores-elasticsearch [0.2.5]

• disable embeddings for sparse strategy (#15032)

llama-index-vector-stores-kdbai [0.2.0]

• Update default sparse encoder for Hybrid search (#15019)

llama-index-vector-stores-milvus [0.1.22]

• Enhance MilvusVectorStore with flexible index management for overwriting (#15058)

llama-index-vector-stores-postgres [0.1.13]

• Adds option to construct PGVectorStore with a HNSW index (#15024)

v0.10.58

v0.10.58