Provides retrieval-augmented generation for insurance claims, enabling search, clause retrieval, and governed tool-calling over policy documents using local LLM (Ollama).
Enables semantic search and retrieval of information from technical documentation PDFs using RAG-powered natural language queries with Ollama embeddings and LLMs.
Enables semantic search and retrieval-augmented generation (RAG) using Qdrant vector database. Supports indexing documents from URLs and local directories, with flexible embedding options using Ollama or OpenAI.
Exposes document ingestion, retrieval (vector, vectorless, hybrid), and multi-turn chat tools for a LangGraph-powered RAG pipeline with streaming answers.
Enables AI agents to process files locally — OCR images, extract text from PDFs and DOCX, and describe images using local vision models, all without sending data to external services.
A local document intelligence and knowledge management server for Claude Desktop that provides RAG-powered Q\&A, media transcription, and URL crawling. It features 11 tools for processing various file types and managing a persistent local vector store with zero infrastructure costs.