pdf-chat

Private, self-hosted document chat for attorneys: parse legal PDFs and query them with local open-source LLMs (Ollama) + verifiable page citations. One-click desktop app at docuchat.app.

PDFs you can talk to.

Self-hosted PDF Q&A API with streaming answers, citations, Weaviate/pgvector, and Azure OpenAI, OpenAI-compatible, Vertex AI, or local embeddings.

Chat with your PDF documents.

NotebookLab | Your thinking partner, on your machine. Import your documents. Ask questions. Get answers with sources. Write connected notes, search everything, and let a local AI help you think. Nothing leaves your computer.

A full-stack AI-powered application that lets users upload and chat with their PDF documents. It combines seamless PDF processing, intelligent responses, and a minimalistic design to deliver a smooth and intuitive user experience.

Local-first AI assistant for macOS — chat with your PDFs, spreadsheets, CSVs and code using a local LLM via Ollama. Model-generated Python runs in a Seatbelt sandbox with no network. No cloud, no telemetry, no API keys.

A fully local RAG running on your browser - Powered by WebLLM, Voy and Transformers.js

Advanced local-first RAG system powered by Ollama and LangGraph. Optimized for high-performance sLLM orchestration featuring adaptive intent routing, semantic chunking, intelligent hybrid search (FAISS + BM25), and real-time thought streaming. Includes integrated PDF analysis and secure vector caching.

Chat with private legal documents using local LLMs. Get cited, verifiable answers on your own hardware.

Local cognitive search on a pdf file.

Open-source NotebookLM alternative. Upload sources, chat with your docs, generate insights.

Chatting with PDF documents using large language models (GPT)

Chat with your documents — privately, offline, on your own machine. Local-first RAG over PDFs/DOCX/images with GPU-accelerated streaming, optional voice mode, multi-conversation history, and citation-anchored sources. Bilingual (中/EN). FastAPI + React + llama.cpp.

LocalDoc RAG: browser-only local document RAG for PDF/TXT/DOCX/CSV chat with Ollama, Qdrant, and plain JavaScript.

Custom RAG Assistant is a Streamlit app to chat with your own documents using FastEmbed, Qdrant, and Groq LLMs. Ingest TXT/PDF/MD/JSON/CSV, query with context-grounded answers, and switch collection, embedding, and model via .env. Includes handling for timeouts, model changes, and dimension mismatch errors.

SelfGPT: secure multi‑provider LLM chat with PDF RAG, web search, and LangSmith tracing.

Streamlit RAG app for uploading PDFs, asking document questions, and viewing source-backed answers with Mistral and FAISS.

An AI-powered PDF assistant built with Next.js, MongoDB, and Gemini API that enables users to upload documents and have context-aware, semantic conversations about their contents.

A NotebookLM-inspired agent that runs locally