agentic-rag-understanding-or-exploring-its-meaning-and-applications – MCP tools

saptiva_embed
MCP-Saptiva
Convert text into semantic embeddings for similarity search, clustering, and RAG applications using Saptiva AI's embedding model.
saptiva_embed
MCP-Saptiva
Convert text into semantic embedding vectors for similarity search, clustering, and RAG applications using the Saptiva Embed model.
tavily_search_context
Tavily Cursor MCP Server
Generate search results optimized for RAG context by providing relevant web content for retrieval-augmented generation applications.
search_code
RAG MCP Server
Perform semantic searches across indexed codebases using RAG (Retrieval-Augmented Generation) to find relevant code snippets based on meaning and context.
search_project_context
Calibre RAG MCP Server
Find relevant context chunks from RAG projects using vector similarity search to support information retrieval and contextual understanding.
a_semantic_search
Smart Coding MCP
Find code by meaning using semantic search with natural language queries. Combines AI understanding with text matching to locate relevant snippets, handling typos and variations.
MIT

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