document-assistant

RAG based Document Assistant for Search

🤖 Agentic RAG - An intelligent document assistant with semantic chunking, hybrid search (vector + BM25), multi-format support (PDF, Word, CSV, Excel), and multi-channel bots (Telegram, WhatsApp). Built with FastAPI, React, PostgreSQL/pgvector, and LangChain.

🧠 Secure AI Assistant to chat with your documents. Isolated vector data storage with full citation tracing built using FastAPI and Flutter.

An intelligent academic document assistant for scholarly research and analysis.

RAG-based AI document assistant using Spring Boot, Spring AI, Ollama, and React for intelligent document Q&A.

An AI-powered document analysis system that enables users to upload PDFs, search document content, and ask questions using Retrieval-Augmented Generation (RAG), semantic embeddings, vector search, and Large Language Models (LLMs).

Offline PDF and Word document assistant with local Ollama, cited answers, React/FastAPI, and portable deployment.

A private AI assistant for your company's documents - runs entirely on your own hardware. Source-available so your IT can audit the privacy claim.

Python document assistant using LangGraph, LangChain, and OpenAI-compatible models for Q&A, summarization, and arithmetic over local documents.

This repository contains materials for studying and implementing Agentic AI from ReadyTensor.

SmartDoc Query — PDF, OCR and semantic document assistance for iOS. Private-source product case study.

Top AI Document Assistant Summarization (Opensource) Star if you like it!

AI-powered document assistant with semantic search and context-aware question answering using Gemini, FAISS, React, and Flask.

Belgeleri buluta göndermeden tamamen yerel çalışan, PDF ve TXT dosyalarındaki sorulara yalnızca belge içeriğine dayanarak yanıt veren RAG tabanlı yapay zeka belge asistanı.

Local-first private document assistant for macOS

A lightweight Document Q&A chatbot using RAG. Built from scratch with FastAPI, pgvector, and local (Ollama) or remote (OpenAI) LLMs.

Indexes documentation and answers questions using retrieval-augmented generation with OpenAI, Claude, Gemini, Groq, or Ollama through a CLI or web interface.

Small AI document assistant prototype using Python, Streamlit, prompt design, and basic document retrieval.

NovaDocs is a multi-workspace document assistant. Upload text, Markdown, or PDF files into isolated workspaces, then ask questions grounded in your own content. Answers include citations, honest refusals when the corpus does not support a claim, and optional tools to save tasks or post Slack summaries.

RAG document assistant for company documents with source citations, local semantic retrieval, Ollama-based generation, and retrieval evaluation. Built with Python and Streamlit.