feat: apply multiple PR enhancements to mcp-server-qdrant#2
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mahmoudimus wants to merge 2 commits intomasterfrom
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feat: apply multiple PR enhancements to mcp-server-qdrant#2mahmoudimus wants to merge 2 commits intomasterfrom
mahmoudimus wants to merge 2 commits intomasterfrom
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This commit consolidates changes from PRs qdrant#92, qdrant#75, qdrant#77, qdrant#90, qdrant#20, qdrant#89, qdrant#78, qdrant#76, and qdrant#68: Infrastructure & Configuration (PR qdrant#75, qdrant#77): - Upgrade Dockerfile to Python 3.13-slim - Use UV 0.8.3 from official image - Add FASTMCP_HOST="0.0.0.0" for container networking - Add SettingsConfigDict for proper None value parsing New Embedding Providers (PR qdrant#76, qdrant#92): - Add Model2Vec support for fast, lightweight embeddings - Add OpenAI-compatible API support (oai_compat) - New settings: OAI_COMPAT_ENDPOINT, OAI_COMPAT_API_KEY, OAI_COMPAT_VEC_SIZE Unnamed Vectors & Multiple Collections (PR qdrant#78): - Add support for Qdrant unnamed vectors - Create UnnamedVectorProvider wrapper - Add USE_UNNAMED_VECTORS and COLLECTION_NAMES settings - Update qdrant.py to handle both named and unnamed vectors - Add __main__.py for python -m execution Hybrid Search (PR qdrant#90): - Implement hybrid search combining dense and sparse vectors - Add find_hybrid() method with RRF and DBSF fusion methods - New tool: qdrant-hybrid-find - Add SPARSE_EMBEDDING_MODEL setting - Support configurable limits for dense, sparse, and final results Optional Collection Names (PR qdrant#89): - Make collection_name parameter optional in store() and find() - Use default collection when not specified - Simplify tool usage with fallback to COLLECTION_NAME env var Additional Tools (PR qdrant#68): - Add qdrant-get-point: Retrieve point by ID - Add qdrant-delete-point: Delete point by ID - Add qdrant-update-point-payload: Update point metadata - Add qdrant-get-collections: List all collections - Add qdrant-get-collection-details: Get collection info - Implement corresponding methods in QdrantConnector Documentation: - Update README with all new features - Document new embedding providers - Add examples for unnamed vectors and multiple collections - Update environment variables table - Document hybrid search functionality - Expand tools documentation Dependencies: - Add model2vec==0.6.0 - Add openai>=1.109.1
… tools This commit consolidates changes from multiple community forks: New Embedding Provider (deduble fork): - Add Google Gemini embedding provider support - Supports text-embedding-004 (768 dimensions) - New setting: GEMINI_API_KEY - Compatible with all Gemini embedding models Enhanced Point Management (cielhaidir fork): - Add qdrant-list-points tool for paginated listing - Supports limit and offset parameters - Returns point IDs along with content and metadata - Complements existing get/delete/update point tools Docker Development Tools (saifamrkhail fork): - Add docker-compose.yml for easy development setup - Includes Makefile with convenient commands - Commands: make up/down/logs/ps/rebuild/clean - Connects to external qdrantnet network - Streamable HTTP transport configured Documentation Updates: - Document all 9 available MCP tools - Add Gemini provider setup examples - Add Docker development workflow section - Update environment variables table - Add Makefile commands documentation Dependencies: - Add google-generativeai>=0.8.3 Architecture Notes: - Gemini provider uses ThreadPoolExecutor for async compatibility - List tool uses Qdrant's scroll API for efficient pagination - Docker setup optimized for development workflows Note: RAG features from avidspartan1 fork (document chunking, ingest CLI) require significant architectural changes and will be considered for future implementation as they add substantial complexity.
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This commit consolidates changes from PRs qdrant#92, qdrant#75, qdrant#77, qdrant#90, qdrant#20, qdrant#89, qdrant#78, qdrant#76, and qdrant#68:
Infrastructure & Configuration (PR qdrant#75, qdrant#77):
New Embedding Providers (PR qdrant#76, qdrant#92):
Unnamed Vectors & Multiple Collections (PR qdrant#78):
Hybrid Search (PR qdrant#90):
Optional Collection Names (PR qdrant#89):
Additional Tools (PR qdrant#68):
Documentation:
Dependencies:
Infrastructure & Configuration (PR qdrant#75, qdrant#77):
New Embedding Providers (PR qdrant#76, qdrant#92):
Unnamed Vectors & Multiple Collections (PR qdrant#78):
Hybrid Search (PR qdrant#90):
Optional Collection Names (PR qdrant#89):
Additional Tools (PR qdrant#68):
Documentation:
Dependencies: