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Search local Word and PDF files to answer document-based questions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "local-document-rag-agent" yet — see the docs or source repo.
Search my local contract PDF and Word files, find all clauses about “breach liability” and “payment terms,” and summarize the key differences.
Returns relevant clauses with sources and a theme-based summary of differences.
Read the PDF and Word documents in my local research materials, compile the topic “applications of generative AI in education,” and output a five-point summary with document support.
Generates a topic summary with supporting references for quick understanding.
Based on the Word and PDF files in my local project documents, answer: what is the delivery timeline, who is responsible, and what are the known risks? List the evidence for each.
Outputs a structured answer and cites the document source for each conclusion.
Search custom knowledge bases in Claude Desktop with RAG via MCP.
Search and read indexed local documents with full-text and fuzzy matching.
Search and question PDF documents with Pinecone and local AI models.
Ingest PDFs, run semantic search, and answer questions with source citations.
Search local Markdown files and return full document contents for use.
Search enterprise documents in natural language across PDF, PPT, and Word files.