Project Title

ai-pdf-chatbot-langchain — AI-powered PDF Chatbot Agent for Document Ingestion and Retrieval

Overview

The ai-pdf-chatbot-langchain project is an AI chatbot agent designed to ingest PDF documents, store embeddings in a vector database, and answer user queries using OpenAI or other LLM providers. Built with LangChain and LangGraph, this monorepo serves as a customizable template for developers looking to create AI-driven chatbots for document management and retrieval.

Key Features

Document Ingestion Graph: Upload and parse PDFs into Document objects, then store vector embeddings into a vector database.
Retrieval Graph: Handle user questions, decide whether to retrieve documents or give a direct answer, then generate concise responses with references to the retrieved documents.
Streaming Responses: Real-time streaming of partial responses from the server to the client UI.
LangGraph Integration: Built using LangGraph’s state machine approach to orchestrate ingestion and retrieval, visualise your agentic workflow, and debug each step of the graph.
Next.js Frontend: Allows file uploads, real-time chat, and easy extension with React components and Tailwind.

Use Cases

Enterprise Document Management: Streamline document ingestion and retrieval processes within large organizations.
Customer Support: Provide customers with instant answers to their queries based on ingested documents.
Knowledge Base: Create a searchable knowledge base that can be queried through a chat interface.

Advantages

Customizable Template: Easily adapt the chatbot to specific use cases and requirements.
Real-time Streaming: Enhance user experience with immediate feedback on queries.
Integration with OpenAI: Leverage advanced language models for more accurate and context-aware responses.

Limitations / Considerations

Requires Knowledge of LangChain and LangGraph: Developers need to be familiar with these frameworks to customize and extend the chatbot.
Dependency on External Services: Relies on OpenAI or other LLM providers for language modeling, which may introduce costs and potential limitations.

LangChain: The core framework used for orchestrating the chatbot's operations, differing in that it provides a more general-purpose solution for AI applications.
LangGraph: Used for state machine orchestration, offering a more specialized approach to workflow management compared to other workflow tools.
PDF.js: A more traditional approach to PDF rendering and interaction, lacking the AI-driven capabilities of ai-pdf-chatbot-langchain.

Basic Information

GitHub: https://github.com/mayooear/ai-pdf-chatbot-langchain
Stars: 15,948
License: Unknown
Last Commit: 2025-09-08

📊 Project Information

Project Name: ai-pdf-chatbot-langchain
GitHub URL: https://github.com/mayooear/ai-pdf-chatbot-langchain
Programming Language: TypeScript
⭐ Stars: 15,948
🍴 Forks: 3,170
📅 Created: 2023-03-17
🔄 Last Updated: 2025-09-08

🏷️ Project Topics

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📚 Documentation

Learning LangChain (O'Reilly)
Features
Architecture Overview
Prerequisites
Installation

This article is automatically generated by AI based on GitHub project information and README content analysis

ai-pdf-chatbot-langchain

Project Description