v2.6.0
microsoft/graphragv2.6.0Sep 22, 2025by AlonsoGuevara
AI Summary
A feature-rich release introducing LiteLLM integration, async processing, and vector store customization.
Key Highlights
- Added LiteLLM chat and embedding model providers
- Implemented NLP async mode
- Added optional input documents to the indexing API
- Added customization options for the vector store
New Features
- LiteLLM chat and embedding model providers
- NLP async mode
- Optional input documents for indexing API
- Vector store customization
Full Release Notes
## What's Changed - minor: Add LiteLLM chat and embedding model providers. - minor: Add LoggerFactory and clean up related API. - minor: Add config for NLP async mode. - minor: Add optional input documents to indexing API. - minor: add customization to vector store - patch: Add gpt-5 support by updating fnllm dependency. - patch: Fix all human_readable_id fields to be 0-based. - patch: Fix multi-index search. - patch: Improve upon recent logging refactor - patch: Make cache, storage, and vector_store factories consistent with similar registration support - patch: Remove hard-coded community rate limiter. - patch: generate_text_embeddings only loads tables if embedding field is specified. ## New Contributors * @Wonderdch made their first contribution in https://github.com/microsoft/graphrag/pull/2038 **Full Changelog**: https://github.com/microsoft/graphrag/compare/v.2.5.0...v2.6.0