Tencent/WeKnora v0.2.1

on GitHub

[0.2.1] - 2025-12-08

🚀 New Features

• NEW: Qdrant Vector Database Support
  • Full integration with Qdrant as retriever engine
  • Support for both vector similarity search and full-text keyword search
  • Dynamic collection creation based on embedding dimensions (e.g., weknora_embeddings_768)
  • Professional Chinese word segmentation using jieba for keyword queries

⚡ Infrastructure Improvements

• IMPROVED: Docker Compose Profile Management
  • Added profiles for optional services: minio, qdrant, neo4j, jaeger, full
  • Enhanced dev.sh script with --minio, --qdrant, --neo4j, --jaeger, --full flags
  • Pinned Qdrant Docker image version to v1.16.2 for stability
• IMPROVED: Database Migration System
  • Added automatic dirty state recovery for failed migrations
  • Added Neo4j connection retry mechanism with exponential backoff
  • Improved migration error handling and logging
• IMPROVED: Retriever Engine Configuration
  • Retriever engines now auto-configured from RETRIEVE_DRIVER environment variable
  • No longer required to write retriever config during user registration
  • Added GetEffectiveEngines() method for dynamic engine resolution
  • Centralized engine mapping in types/tenant.go

🐛 Bug Fixes

• FIXED: Qdrant keyword search returning empty results for Chinese queries
• FIXED: Image URL validation logic simplified for better compatibility