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Releases: tigergraph/graphrag

v1.2.0

04 Mar 20:29
@chengbiao-jin chengbiao-jin
v1.2.0
93b40bf

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v1.2.0 Latest
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TigerGraph GraphRAG v1.2.0

What's New

  • Knowledge Graph Management UI
    • Graph initialization, document ingestion, and knowledge graph rebuild with status tracking, confirm dialogs, and rebuild lock management.
  • Server-Side & Batch Ingestion
    • Local folder processing, S3 data ingest, BDA ingestion, batch upload, and re-ingestion of previously processed files without reprocessing.
  • Image Processing
    • Extract and display images from PDFs using multi-modal LLMs, with logo identification and in-answer image rendering.
  • Chat History
    • Conversation history displayed in the UI and used as context for follow-up questions.
  • Append Schema to Existing Graph
    • GraphRAG schema can now be added to an existing TigerGraph graph.
  • Separate Chat Model
    • Configure a distinct chat_model for the chatbot, separate from the extraction LLM.
  • Azure OpenAI Improvements
    • Embedding dimension support and other Azure service upgrades.

Schema Changes

  • Removed Entity Embedding
    • Only DocumentChunk and Community retain the embedding vector attribute. Removed from Entity and other vertex types to reduce storage overhead.

Bug Fixes

  • Non-ASCII / CJK Text Support
    • Fixed text corruption for non-ASCII characters (Chinese, Japanese, Korean, etc.) during chunking and extraction. Added CJK sentence-boundary separators for better chunking quality.
  • Rebuild Lock & Status
    • Fixed race conditions, stale lock messages, and UI stuck on "Checking rebuild status...". Prevented ingestion during active rebuilds.
  • Memory-Efficient Data Loading
    • Switched to runLoadingJobWithFile to reduce memory consumption during ingestion.
  • Token Truncation
    • Revised token calculation to prevent context overflow.

Full Changelog: v1.1.0...v1.2.0

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v1.1.0

23 Sep 20:34
@chengbiao-jin chengbiao-jin
v1.1.0
5be90ed
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v1.1.0

TigerGraph GraphRAG v1.1.0

What's New

  • AWS Bedrock Integration
    • Full support for AWS Bedrock as LLM provider, including Bedrock Data Automation (BDA) for document processing and S3-based data ingestion pipeline with presigned URL support.
  • Gemini & Ollama Support
    • Added Google Gemini as a supported LLM provider and Ollama as a supported embedding service.
  • Kubernetes Deployment
    • Added K8S deployment files for production deployment.
  • Enhanced Community Search
    • Improved community search retriever for better answer quality.

Improvements

  • TigerGraph v4.2.0/v4.2.1 Compatibility
    • Ensured compatibility with both TigerGraph v4.2.0 and v4.2.1, including loading job fixes.
  • LLM & Embedding Enhancements
    • Improved OpenCypher query generation for faster, more accurate responses. Upgraded GenAI library with embedding fixes. Added LLM token usage logging.
  • Chunking & Retrieval
    • Added chunk size control for the markdown chunker. Revised vector search retrievers for better retrieval quality.

Bug Fixes

  • Async Mode Authentication
    • Fixed errors in async mode with bearer token authentication.

Full Changelog: v1.0.0...v1.1.0

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