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2024-07-31 [v0.10.59]
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@github-actions github-actions released this 01 Aug 04:46
v0.10.59
821ca7c
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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)
Assets 3
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