MCP server that enables AI assistants to semantically search Memtech's memory-ASIC engineering knowledge base (RTL, lab logs, DFM rules) stored in a Qdrant vector database.
This MCP server provides semantic document search and retrieval, enabling AI assistants to search documents, search categories, and retrieve category hierarchies using the Model Context Protocol.
MCP server for semantic and hybrid search over RHEL documentation using docs2db RAG, with cross-encoder reranking and support for multiple MCP clients.