v2.6.0

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.

@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

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.

@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