allenday solr mcp

WHAT IT CONNECTS

What allenday solr mcp gives an AI Agent

• **MCP Server**: Implements the Model Context Protocol for integration with AI assistants
• **Hybrid Search**: Combines keyword search precision with vector search semantic understanding
• **Vector Embeddings**: Generates embeddings for documents using Ollama with nomic-embed-text
• **Unified Collections**: Store both document content and vector embeddings in the same collection
• **Docker Integration**: Easy setup with Docker and docker-compose
• **Optimized Vector Search**: Efficiently handles combined vector and SQL queries by pushing down SQL filters to the vector search stage, ensuring optimal performance even with large result sets and pagination
• SQL filters (WHERE clauses) are pushed down to the vector search stage
• This ensures that vector similarity calculations are only performed on documents that will match the final SQL criteria
• Significantly improves performance for queries with:
• Selective WHERE clauses
• Pagination (LIMIT/OFFSET)
• Large result sets
• Clone this repository
• Start SolrCloud with Docker:
• Install dependencies:
• Process and index the sample document:
• Run the MCP server:
• Python 3.10 or higher
• Docker and Docker Compose
• SolrCloud 9.x
• Ollama (for embedding generation)