AI PDF chatbot agent built with LangChain & LangGraph

结合知识库管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain v1 + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.

A Langchain app that allows you to chat with multiple PDFs

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

AI chatbot 🤖 for chat with CSV, PDF, TXT files 📄 and YTB videos 🎥 | using Langchain🦜 | OpenAI | Streamlit ⚡

An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.

Chat with documents (pdf, docx, txt) using ChatGPT and Langchain

A learning project for building local knowledge bases from PDFs using LangChain, supporting multiple LLMs (DeepSeek, OpenAI). Features include PDF processing, knowledge graph construction, and natural language Q&A interface.一个基于 LangChain 的学习项目，用于构建 PDF 本地知识库，支持多种大语言模型（DeepSeek、OpenAI）。功能包括 PDF 处理、知识图谱构建和自然语言问答界面。

PDF解析（文字，章节，表格，图片，参考），基于大模型(ChatGLM2-6B, RWKV)+langchain+streamlit的PDF问答，摘要，信息抽取

An AI powered Next.js app to chat with your PDF files and get a streamed response using Langchain and PineconeDB ✨🤖💻🗃️

ChatPDF-GPT is an innovative chat interface application powered by LangChain and OpenAI, allowing users to upload and chat with PDF documents, stored in Pinecone vector database and Supabase storage.

An AI powered Next.js app to chat with your PDF files and get a streamed response using Vercel's AI SDK, Langchain and PineconeDB ✨🤖💻🗃️

Chat with your documents (pdf, csv, text) using Openai model, LangChain and Chainlit

Local PDF Chat Application with Mistral 7B LLM, Langchain, Ollama, and Streamlit

Chat with your docs in PDF/PPTX/DOCX format, using LangChain and GPT4/ChatGPT from both Azure OpenAI Service and OpenAI

Chat with PDF using Zephyr 7B Alpha, Langchain, ChromaDB, and Gradio with Free Google Colab

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Meet MultiPDF 📚 Chat AI App! 🚀 Chat seamlessly with Multiple PDFs using Langchain, Google Gemini Pro & FAISS Vector DB with Seamless Streamlit Deployment. Get instant, accurate responses from Awesome Google Gemini OpenSource language Model. 📚💬 Transform your PDF experience now! 🔥✨

Completely local RAG. Chat with your PDF documents (with open LLM) and UI to that uses LangChain, Streamlit, Ollama (Llama 3.1), Qdrant and advanced methods like reranking and semantic chunking.

javascript implementation of a PDF chatbot

In this project, I explored how to extract structured information from PDF documents, using Langchain and OpenAI models

PDF based Chatbot using streamlit LangChain & OpenAI.

A simple LangChain-like implementation based on Sentence Embedding+local knowledge base, with Vicuna (FastChat) serving as the LLM. Supports both Chinese and English, and can process PDF, HTML, and DOCX formats of documents as knowledge base.

An AI-app that allows you to upload a PDF and ask questions about it. It uses StableVicuna 13B and runs locally.

Notebook for my Youtube video on summarizing and querying multiple pdfs

langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.

Chat with PDF using LangChain, Streamlit, Ollama (for LLM inference) and PDFPlumber. Overall which is an example of a Retrieval-Augmented Generation (RAG) system with Deepseek r1 model.

基于 GPT4 & LangChain，并适用于 PDF/Markdown/Docx/Txt 等任意文件格式的智能知识库 AI 机器人

Step-by-Step Guide to Building a PDF-Chat App using LangChain, OpenAI API & Streamlit

A PDF search ingestion RAG application with Docker + LangChain.js + Gemini