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Provides web search and local document RAG using Ollama, enabling privacy-preserving AI assistance in Cursor IDE.
Implements a RAG workflow that integrates with any custom knowledge base and can be triggered directly from the Cursor IDE.
Enables searching and fetching LlamaIndex documentation for integration with VS Code Copilot and other MCP clients.
Enables semantic code search across codebases using AI embeddings and vector similarity, integrated with Claude Desktop and Cursor.
Enables Claude Code to index and semantically search through PDFs, code, and documents with exact citations and zero hallucinations.
Enables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.