kennethleungty/Llama-2-Open-Source-LLM-CPU-Inference

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

Language: Python - Size: 4.52 MB - Last synced at: 5 days ago - Pushed at: about 2 years ago - Stars: 967 - Forks: 211

neel1996/supesquire

Document Q&A chatbot

Language: JavaScript - Size: 3.11 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 18 - Forks: 1

byerlikaya/SmartRAG

⚡ Production-ready .NET Standard 2.1 RAG library with 🤖 multi-AI provider support, 🏢 enterprise vector storage, 📄 intelligent document processing, and 🗄️ multi-database query coordination. 🌍 Cross-platform compatible.

Language: C# - Size: 11.7 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 6 - Forks: 2

tmori/generative-agents

This Repositry is an experiment with an agent that searches documents and asks questions repeatedly in response to the main question. It automatically determines the optimal answer from the current documents or recognizes when there is no answer.

Language: Python - Size: 250 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

javcanti/ContextAgent

ContextAgent is a production-ready AI assistant backend with RAG, LangChain, and FastAPI. It ingests documents, uses OpenAI embeddings, and stores vectors in ChromaDB 🐙

Language: Python - Size: 26.4 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 0

webcodelabb/ContextAgent

AI assistant backend for document-based question answering using RAG (LangChain, OpenAI, FastAPI, ChromaDB). Features modular architecture, multi-tool agents, conversational memory, semantic search, PDF/Docx/Markdown processing, and production-ready deployment with Docker.

Language: Python - Size: 29.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

Jaolmos/documentmentor-rag

Sistema RAG (Retrieval Augmented Generation) para asistencia de documentación técnica en español utilizando LangChain, OpenAI Y Streamlit para la interfaz visual

Language: Python - Size: 148 KB - Last synced at: 27 days ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

SNEAKO7/commission-dashboard-assistant-RAG-

AI-powered commission plan assistant featuring advanced RAG pipeline, Model Context Protocol (MCP) PostgreSQL server integration, multi-format document processing, and secure SELECT-only database operations. Guided 3-phase plan creation with conversational interface.

Language: Python - Size: 199 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

Md-Emon-Hasan/AutoDocThinker

Agentic AI system that allows users to upload documents (PDFs, DOCX, etc.) and natural language questions. It uses LLM-based RAG to extract relevant information. The architecture includes multi-agent components such as document retrievers, summarizers, web searchers, and tool routers — enabling dynamic reasoning and accurate responses.

Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

dronefreak/local_rag_pipeline

An advanced, fully local, and GPU-accelerated RAG pipeline. Features a sophisticated LLM-based preprocessing engine, state-of-the-art Parent Document Retriever with RAG Fusion, and a modular, Hydra-configurable architecture. Built with LangChain, Ollama, and ChromaDB for 100% private, high-performance document Q&A.

Language: Python - Size: 116 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

sayan-dg/ask-knowledge-base

A Document QA chatbot using LangChain, Pinecone for vector storage, and Amazon Bedrock (mistral.mixtral-8x7b-instruct for LLM and titan-embed-text for embeddings). Built with a Streamlit frontend for document uploads and contextual question answering.

Language: Python - Size: 7.81 KB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1

kbhujbal/KnowledgeAssist-Retrieval-Augmented-Generation-RAG-Document-QA-System

A full-stack RAG application that enables intelligent document Q&A. Upload PDFs, DOCX, or TXT files and ask questions powered by LangChain, ChromaDB, and Claude/GPT. Features smart chunking, semantic search, conversation memory, and source citations. Built with FastAPI & React + TypeScript.

Language: Python - Size: 47.9 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

rmehmood786/genai-knowledge-assistant

🧠 Offline RAG App using LangChain, FAISS, and HuggingFace. A lightweight AI assistant that lets you chat with your own documents without any API costs.

Language: Python - Size: 229 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

Danni-Ke/MemoOrb

Personal Book RAG Assistant: A lightweight, RAG-based Q&A system for personal reading notes and documents. Supports multi-format ingestion (.md, .txt, .epub, .pdf, .html, .doc) with conversational memory and citation-based answers.

Language: Python - Size: 7.19 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Ashprogrammer29/AI-Powered-PDF-Context-Retrieval-Chatbot-RAG

AI-Powered PDF Context Retrieval Chatbot (RAG) is a smart chatbot that lets you upload PDFs and ask questions about their content. Using advanced AI and semantic search, it finds and summarizes answers directly from your documents—ideal for legal, academic, business, and support tasks.

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Sourav01112/voice-rag-pdf-assistant

Voice-enabled RAG assistant that processes PDFs with Ollama, stores embeddings in ChromaDB, and provides spoken answers via ElevenLabs TTS for hands-free document Q&A

Language: Python - Size: 1.73 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

yash-learnerr/pdf-chat-assistant

Build a powerful PDF Chat Assistant using Node.js, LangChain, and Google Gemini. Upload PDFs, extract content, and interact with them using natural language queries powered by Gemini LLM. Ideal for document Q&A, contract analysis, resume review, and more.

Language: JavaScript - Size: 36.1 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AbhishekGadagin/document-qa-system

AI-powered document Q&A system with vector search

Language: TypeScript - Size: 6.27 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

hari7261/Document-Q-A-LLM

A document question-answering system that allows users to upload files (PDFs, DOCs, TXTs) and ask questions about their content using RAG (Retrieval-Augmented Generation) with ChromaDB and Gemma.

Language: Python - Size: 222 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Pranav-here/Healthcare-Chatbot

Sub-second RAG-based chatbot for medical Q&A over 10+ textbooks with source-cited responses.

Language: Python - Size: 38.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Deepak4Siriboyina/smartdoc-assistant

Language: Python - Size: 9.77 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Garbii1/personal-data-assistant-chatbot

Create your own Retrieval-Augmented Generation (RAG) chatbot for PDFs. This project uses LangChain, Flask, and an LLM (IBM WatsonX/Hugging Face) to build a conversational AI that understands your documents.

Language: Python - Size: 18.6 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SayamAlt/Multi-Domain-AI-Chatbot-using-Langchain

Successfully developed a Multi-Domain AI Personal Assistant using LangChain, OpenAI, and Streamlit. The application seamlessly integrates multiple specialized capabilities, including document-based question answering (QA), Python code execution, debugging, explanation and optimization, web search, latest news retrieval, and currency conversion.

Language: Python - Size: 40 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

hardikjp7/DeepSeek-R1-RAG-for-Document-QA

🐋 DeepSeek-R1: Retrieval-Augmented Generation for Document Q&A 📄

Size: 2.93 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

harimkang/docsense

An intelligent document assistant powered by Open-Source Large Language Models

Language: Python - Size: 39.1 KB - Last synced at: 5 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

SannketNikam/Document-QnA

A Document-based Question Answering system by implementing Retrieval-Augmented Generation (RAG) using OpenAI's API.

Language: Jupyter Notebook - Size: 55.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Espacio-root/llm-notebooks

This repository acts as an archive of the owners experience working with large language models neatly presented within jupyter notebooks

Language: Jupyter Notebook - Size: 32.8 MB - Last synced at: 21 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

sdx0112/LLM-Taxonomy

Cross-document QA leveraging LLM and taxonomy

Language: Python - Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

manhowong/LLM-Chatbot-for-QA

An LLM-powered Slack bot built with Langchain.

Language: Jupyter Notebook - Size: 118 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0