- Add missing query parameters (top_k, enable_rerank, max_tokens, etc.) to cache key generation in kg_query, naive_query, and extract_keywords_only functions
- Add queryparam field to CacheData structure and PostgreSQL storage for debugging
- Update PostgreSQL schema with automatic migration for queryparam JSONB column
- Prevent incorrect cache hits between queries with different parameters
Fixes issue where different query parameters incorrectly shared the same cached results.
Add get_all_nodes() and get_all_edges() methods to Neo4JStorage, PGGraphStorage, MongoGraphStorage, and MemgraphStorage classes. These methods return all nodes and edges in the graph with consistent formatting matching NetworkXStorage for compatibility across different storage backends.
- Introduces an index mapping documents to their corresponding entities and relations. This significantly speeds up `adelete_by_doc_id` by replacing slow graph traversal with a fast key-value lookup.
- Refactors the ingestion pipeline (`merge_nodes_and_edges`) to populate this new index. Adds a one-time data migration script to backfill the index for existing data.
- Add null-safe file_path handling with "no-file-path" fallback in get_docs_by_status and get_docs_by_track_id
- Enhance metadata validation to ensure dict type after JSON parsing
- Align PostgreSQL implementation with JSON implementation safety patterns
- Prevent KeyError exceptions when database records have missing fields
Resolves 'coroutine' object has no attribute 'to_list' error in document pagination endpoint by adding missing await keyword before self._data.aggregate() call.
- Add file_path sorting support to all database backends (JSON, Redis, PostgreSQL, MongoDB)
- Implement smart column header switching between "ID" and "File Name" based on display mode
- Add automatic sort field switching when toggling between ID and file name display
- Create composite indexes for workspace+file_path in PostgreSQL and MongoDB for better query performance
- Update frontend to maintain sort state when switching display modes
- Add internationalization support for "fileName" in English and Chinese locales
This enhancement improves user experience by providing intuitive file-based sorting
while maintaining performance through optimized database indexes.
- Add pagination support to BaseDocStatusStorage interface and all implementations (PostgreSQL, MongoDB, Redis, JSON)
- Implement RESTful API endpoints for paginated document queries and status counts
- Create reusable pagination UI components with internationalization support
- Optimize performance with database-level pagination and efficient in-memory processing
- Maintain backward compatibility while adding configurable page sizes (10-200 items)
- Add metadata field to DocProcessingStatus with start_time and end_time tracking
- Record processing timestamps using Unix time format (seconds precision)
- Update all storage backends (JSON, MongoDB, Redis, PostgreSQL) for new field support
- Maintain backward compatibility with default values for existing data
- Add error_msg field for better error tracking during document processing
- Add nano-vectordb and networkx to pyproject.toml dependencies
- Replace dynamic imports with direct imports for 4 default storage implementations
- Improve startup performance while maintaining backward compatibility
Add "allow" to the list of recognized SSL modes in PostgreSQL connection helper. Previously, ssl_mode="allow" would fall through to "Unknown SSL mode" warning. Now it's properly handled alongside "require" and "prefer" modes.
- Fix JSON parsing errors caused by :: characters in data content
- Implement precise agtype string parsing using rfind() to separate JSON content from type identifiers
- Add robust error handling for malformed JSON in graph data
- Remove entity_type field from entities collections
- Remove weight field from relationships collections
- Update schema definitions and index creation logic
- Maintain backward compatibility with existing data via dynamic fields
- Update extract_entities function in operate.py to use 1.0 as default weight
- Fix Neo4j implementation to use 1.0 instead of 0.0 for missing edge weights
- Fix Memgraph implementation to use 1.0 instead of 0.0 for missing edge weights
- Ensures consistent non-zero default weights across all graph storage backends
