Release v1.3.0

TigerGraph GraphRAG v1.3.0

What's New

• Admin Configuration UI
  • Role-based configuration pages for DB, LLM providers, and GraphRAG settings with secret masking and graph admin access control.
• Unified LLM Config Save/Test
  • Save and test connection share the same config resolution path. Top-level parameters (auth, region_name) are normalized and per-service duplicates are stripped automatically.
• Per-Graph Config Overrides
  • Graph-specific LLM and GraphRAG settings store only the delta against global config. Superadmins can override all services; graph admins can override the chatbot model.
• Per-Graph Chatbot LLM Override
  • Configure a distinct chat_service per graph with automatic inheritance from completion_service.
• Multimodal Inherit Option
  • "Use same model as completion service" checkbox in LLM config UI for both single and multi-provider modes.
• Centralized LLM Token Usage Tracking
  • All LLM call sites migrated to invoke_with_parser / ainvoke_with_parser with structured and plain text response support.
• Retriever Scoring for All Retriever Types
  • Similarity, Hybrid, and Sibling retrievers now score and rank context chunks when combine=False, matching CommunityRetriever behavior.
• User-Customized Prompts
  • Per-graph prompt overrides persisted under configs/ across container restarts.
• Session Idle Timeout
  • 1-hour idle timeout with auto-clear; timer pauses during long-running operations.
• Auth Guard on All UI Routes
  • RequireAuth wrapper redirects unauthenticated users to login.
• Greeting Detection
  • Agent router responds directly to greetings, farewells, and thanks without invoking search.
• GraphRAG Config UI Fields
  • Search parameters (top_k, num_hops, community_level, doc_only) and advanced ingestion settings exposed in the UI.

Changed

• Config resolution uses get_xxx_config(graphname) getters everywhere instead of direct llm_config access.
• Atomic config file writes with file locking to prevent race conditions.
• Chat history messages display instantly without typewriter animation.
• default_concurrency replaces tg_concurrency in graphrag_config.

Bug Fixes

• Bedrock multimodal connection test — replaced 1x1 test PNG with 20x20 PNG accepted by Bedrock validation.
• Provider-aware image format — GenAI/VertexAI use image_url; Bedrock/Anthropic use type:"image" with source block.
• Null service values stripped before config reload (null = inherit, key should be absent).
• Login error messages — proper feedback based on HTTP status codes.
• Bedrock model names no longer trigger token calculator warnings.
• Config reload no longer clears in-memory state during concurrent requests.
• JSON parsing fallback — handles LLM responses wrapped in preamble text or markdown code fences.
• Cypher/GSQL output validation before query execution to prevent garbage queries.

Full Changelog: v1.2.0...v1.3.0

v1.2.0

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

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