

High-performance vector database designed for LLM memory and RAG applications. Provides an MCP (Model Context Protocol) server for seamless integration with AI assistants like Claude, and a REST API for traditional applications. Supports HNSW and flat indexes with 256x memory compression via quantization, flexible storage backends, auto-embedding, and advanced analytics.
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EmbeddixDB is a vector database optimized for AI applications, featuring both MCP server for AI assistants and REST API.
Available MCP Tools:
REST API endpoints for collections, documents, search, with OpenAPI docs.
Free and open-source under the MIT License.