v2.7.0

What's Changed

• minor: Set LiteLLM as default in init_content.
• patch: Fix Azure auth scope issue with LiteLLM.
• patch: Housekeeping before 3.0

Full Changelog: v2.6.0...v2.7.0

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.

New Contributors

• @Wonderdch made their first contribution in #2038

Full Changelog: v.2.5.0...v2.6.0

v.2.5.0

What's Changed

• minor: Add additional context variable to build index signature for custom parameter bag
• minor: swap package management from Poetry -> UV

Full Changelog: v.2.4.0...v.2.5.0

v.2.4.0

What's Changed

• minor: Allow injection of custom pipelines.
• minor: Refactored StorageFactory to use a registration-based approach
• patch: Fix default values for tpm and rpm limiters on embeddings
• patch: Update typer.
• patch: cleaned up logging to follow python standards.

Full Changelog: v2.3.0...v.2.4.0

v2.3.0

What's Changed

• minor: Remove Dynamic Max Retries support. Refactor typer typing in cli interface
• minor: Update fnllm to latest. Update default graphrag configuration
• patch: A few fixes and enhancements for better reuse and flow.
• patch: Add full llm response to LLM PRovider output
• patch: Fix Drift Reduce Response for non streaming calls
• patch: Fix global search prompt to include missing formatting key
• patch: Upgrade pyarrow dependency to >=17.0.0 to fix CVE-2024-52338

Full Changelog: v2.2.1...v2.3.0

v2.2.1

What's Changed

• patch: Fix Community Report prompt tuning response
• patch: Fix graph creation missing edge weights.
• patch: Update as workflows

Full Changelog: v2.2.0...v2.2.1

v2.2.0

What's Changed

• minor: Support OpenAI reasoning models.
• patch: Add option to snapshot raw extracted graph tables.
• patch: Added batching logic to the prompt tuning autoselection embeddings workflow
• patch: Align config classes and docs better.
• patch: Align embeddings table loading with configured fields.
• patch: Brings parity with our latest NLP extraction approaches.
• patch: Fix fnllm to 0.2.3
• patch: Fixes to basic search.
• patch: Update llm args for consistency.
• patch: add vector store integration tests

Full Changelog: v2.1.0...v2.2.0

v2.1.0

What's Changed

• minor: Add support for JSON input files.
• minor: Updated the prompt tunning client to support csv-metadata injection and updated output file types to match the new naming convention.
• patch: Add check for custom model types while config loading
• patch: Adds general-purpose pipeline run state object.

Full Changelog: v2.0.0...v2.1.0

v2.0.0

What's Changed

• major: Add children to communities to avoid re-compute.
• major: Reorganize and rename workflows and their outputs.
• major: Rework API to accept callbacks.
• minor: Add LLM Manager and Factory, to support provider registration
• minor: Add NLP graph extraction.
• minor: Add pipeline_start and pipeline_end callbacks.
• minor: Move embeddings snapshots to the workflow runner.
• minor: Remove config inheritance, hydration, and automatic env var overlays.
• minor: Rework the update output storage structure.
• patch: Add caching to NLP extractor.
• patch: Add vector store id reference to embeddings config.
• patch: Export NLP community reports prompt.
• patch: Fix DRIFT search on Azure AI Search.
• patch: Fix StopAsyncIteration catch.
• patch: Fix missing embeddings workflow in FastGraphRAG.
• patch: Fix proper use of n_depth for drift search
• patch: Fix report generation recursion.
• patch: Fix summarization over large datasets for inc indexing. Fix relationship summarization
• patch: Optimize data iteration by removing some iterrows from code
• patch: Patch json mode for community reports
• patch: Properly increment text unit IDs during updates.
• patch: Refactor config defaults from constants to type-safe, hierarchical dataclass.
• patch: Require explicit azure auth settings when using AOI.
• patch: Separates graph pruning for differential usage.
• patch: Tuck flow functions under their workflow modules.
• patch: Update fnllm. Remove unused libs.
• patch: Use ModelProvider for query module
• patch: Use shared schema for final outputs.
• patch: add dynamic retry logic.
• patch: add option to prepend metadata into chunks
• patch: cleanup query code duplication.
• patch: implemented multi-index querying for api layer
• patch: multi index query cli support
• patch: remove unused columns and change property document_attribute_columns to metadata
• patch: update multi-index query to support new workflows

Full Changelog: v1.2.0...v2.0.0

v1.2.0

What's Changed

• minor: Add Drift Reduce response and streaming endpoint
• minor: add cosmosdb vector store
• patch: Fix example notebooks
• patch: Set default rate limits.
• patch: unit tests for text_splitting

Full Changelog: v1.1.2...v1.2.0