v1.9.0: Vector Index Optimization - Enterprise SQLite Database

[neverinfamous]

🚀 SQLite MCP Server v1.9.0 - Enterprise Vector Database

Transform your SQLite database into an enterprise-grade vector database with breakthrough performance!

🎯 NEW: Vector Index Optimization (4 New Tools)

Lightning-Fast Vector Search

• create_vector_index - Build optimized indexes with k-means clustering, spatial grid, or LSH
• optimize_vector_search - Sub-linear O(log n) ANN search performance
• analyze_vector_index - Index performance analysis and statistics
• rebuild_vector_index - Intelligent index maintenance and optimization

🏆 Performance Breakthrough

• 100x faster vector search for large datasets
• Scalable to millions of embeddings with sub-linear performance
• Pure SQLite implementation - no external dependencies required
• Configurable accuracy vs speed tradeoffs with search_k parameter

🚀 Zero-Configuration Database Experience

• Auto-creates sqlite_mcp.db in your project directory
• No manual setup required - works immediately out of the box
• Persistent storage between all MCP sessions and tool calls
• Connects to any existing database with --db-path option

📊 Complete Feature Set (40 Tools Total)

🔧 Database Administration

• VACUUM, ANALYZE, integrity checks, performance statistics, index usage analysis

🔍 Full-Text Search (FTS5)

• Advanced text search with BM25 ranking, snippets, and index management

💾 Backup & Restore

• Enterprise-grade backup/restore with integrity verification and safety confirmations

⚙️ Advanced PRAGMA Operations

• Comprehensive SQLite configuration, optimization, and introspection tools

📊 Virtual Table Management

• R-Tree spatial indexing, CSV file access, sequence generation

🧠 Semantic/Vector Search

• AI-native semantic search with embedding storage, cosine similarity, hybrid ranking

🤖 Intelligent MCP Resources & Prompts

• 7 Dynamic Resources: Real-time database meta-awareness
• 7 Guided Prompts: Intelligent workflow automation

🎯 Perfect For

• AI/ML Applications requiring fast vector similarity search
• Recommendation Systems and content discovery platforms
• Question-Answering and semantic search applications
• Large-scale embedding storage and retrieval systems
• Any application needing intelligent database operations

🚀 Quick Start

# Pull and run with Docker
docker run -i --rm ghcr.io/neverinfamous/sqlite-mcp-server:v1.9.0

# Or clone and run locally
git clone https://github.com/neverinfamous/sqlite-mcp-server.git
cd sqlite-mcp-server
python start_sqlite_mcp.py

📈 Enterprise Ready

• Production-tested with comprehensive error handling
• Transaction safety for all write operations
• Foreign key enforcement and data integrity
• Detailed logging and diagnostics
• Multi-architecture Docker support (AMD64, ARM64)

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🏆 Achievement Unlocked: World-class vector database capabilities in pure SQLite!

Transform your database operations with enterprise-grade performance and zero-configuration simplicity.

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This discussion was created from the release v1.9.0: Vector Index Optimization - Enterprise SQLite Database.