• Check content hash before insertion
• Return duplicated status if exists
• Use sanitized text for hash computation
• Apply to both single and batch inserts
• Prevent duplicate content processing
- Add KaTeX extensions (mhchem for chemistry, copy-tex for copying)
- Add CASCADE to AGE extension for PostgreSQL
- Remove future dependency, replace passlib with bcrypt
- Fix Jina embedding configuration and provider defaults
- Update gunicorn help text and bump API version to 0258
- Documentation and README updates
Add citation tracking and display system across backend and frontend components.
Backend changes include citation.py for document attribution, enhanced query routes
with citation metadata, improved prompt templates, and PostgreSQL schema updates.
Frontend includes CitationMarker component, HoverCard UI, QuerySettings refinements,
and ChatMessage enhancements for displaying document sources. Update dependencies
and docker-compose test configuration for improved development workflow.
Add citation.py module for document citation tracking and management.
Configure Biome and Ruff for consistent code formatting across TypeScript
and Python. Update webui with improved component organization, API client
refactoring, and enhanced user interface patterns. Add formatting configs
and dependency updates for build toolchain optimization.
Add comprehensive test dataset with 7 domain-specific Wikipedia documents
(climate, finance, medical, sports) and corresponding test cases in JSON format.
Total of 2292 lines of test data across 8 files for RAG quality evaluation
and end-to-end testing infrastructure.
Graph Connectivity Awareness:
- Add db_degree property to all KG implementations (NetworkX, Postgres, Neo4j, Mongo, Memgraph)
- Show database degree vs visual degree in node panel with amber badge
- Add visual indicator (amber border) for nodes with hidden connections
- Add "Load X hidden connection(s)" button to expand hidden neighbors
- Add configurable "Expand Depth" setting (1-5) in graph settings
- Use global maxNodes setting for node expansion consistency
Orphan Connection UI:
- Add OrphanConnectionDialog component for manual orphan entity connection
- Add OrphanConnectionControl button in graph sidebar
- Expose /graph/orphans/connect API endpoint for frontend use
Backend Improvements:
- Add get_orphan_entities() and connect_orphan_entities() to base storage
- Add orphan connection configuration parameters
- Improve entity extraction with relationship density requirements
Frontend:
- Add graphExpandDepth and graphIncludeOrphans to settings store
- Add min_degree and include_orphans graph filtering parameters
- Update translations (en.json, zh.json)
Add comprehensive E2E testing infrastructure with PostgreSQL performance tuning,
Gunicorn multi-worker support, and evaluation scripts for RAGAS-based quality
assessment. Introduces 4 new evaluation utilities: compare_results.py for A/B test
analysis, download_wikipedia.py for reproducible test datasets, e2e_test_harness.py
for automated evaluation pipelines, and ingest_test_docs.py for batch document
ingestion. Updates docker-compose.test.yml with aggressive async settings, memory
limits, and optimized chunking parameters. Parallelize entity summarization in
operate.py for improved extraction performance. Fix typos in merge node/edge logs.
Implement automatic orphan entity connection system that identifies entities with
no relationships and creates meaningful connections via vector similarity + LLM
validation. This improves knowledge graph connectivity and retrieval quality.
Changes:
- Add orphan connection configuration parameters (thresholds, cross-connect settings)
- Implement aconnect_orphan_entities() method with 4-step validation pipeline
- Add SQL templates for efficient orphan and candidate entity queries
- Create POST /graph/orphans/connect API endpoint with configurable parameters
- Add orphan connection validation prompt for LLM-based relationship verification
- Include relationship density requirement in extraction prompts to prevent orphans
- Update docker-compose.test.yml with optimized extraction parameters
- Add quality validation test suite (run_quality_tests.py) for retrieval evaluation
- Add unit test framework (test_orphan_connection_quality.py) with test cases
- Enable auto-run of orphan connection after document processing
- Set EMBEDDING_MODEL default to None
- Pass model param only when provided
- Let providers use their own defaults
- Fix lollms embed function params
- Add ollama embed_model default param
- Add model parameter to jina_embed
- Pass model from API server
- Default to jina-embeddings-v4
- Update function documentation
- Make model selection flexible
- Extract PostgreSQL storage check into named variable for clarity
- Move APIRouter initialization into create_table_routes function scope
- Add robust type handling for database query results
- Add input validation for table names and pagination parameters
- Add regex-based SQL injection prevention for table name sanitization
- Improve clipboard copy fallback logic and error handling
- Add memoization for JSON serialization to prevent unnecessary recalculations
- Hide meta column from table explorer UI display
- Sort table columns alphabetically for consistent ordering
- Add keyboard accessibility to status filter buttons
- Add preprocessed status filter to document manager
- Update @tanstack/react-query from 5.60.0 to 5.87.1
- Extract dev storage config into constant to reduce duplication
- Update documentation comments for clarity
- Implemented Table Explorer component to allow users to select and view database tables.
- Added API calls for fetching table list, schema, and paginated data.
- Introduced row detail modal for displaying and copying row data.
- Enhanced DataTable component to support row click events.
- Updated UI components for better user experience and accessibility.
- Added mock data for development mode to facilitate testing.
- Updated localization files to include new terms related to tables.
- Modified settings store to include storage configuration for conditional UI rendering.
- Improved styling and layout for various components to align with new design standards.
- Change build check from error to warning
- Redirect to /docs when WebUI unavailable
- Add webui_available to health endpoint
- Only mount /webui if assets exist
- Return status tuple from build check
Added support for structured output (JSON mode) from the OpenAI API in `openai.py` and `azure_openai.py`.
When `response_format` is used to request structured data, the new logic checks for the `message.parsed` attribute. If it exists, it's serialized into a JSON string as the final content. If not, the code falls back to the existing `message.content` handling, ensuring backward compatibility.
