mayooear/ai-pdf-chatbot-langchain

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

16598 stars · 3230 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A monorepo template for an AI PDF chatbot agent that ingests PDFs, stores embeddings in Supabase, and answers questions using OpenAI via LangChain and LangGraph orchestration. It includes a Next.js chat frontend with file upload and streaming responses, and accompanies the book 'Learning LangChain' (O'Reilly).

Use cases

• chat with pdf documents using an llm
• build a rag chatbot over pdf files
• learn langchain and langgraph by example
• ingest pdfs into a vector database and query them
• stream llm answers in a next.js chat ui
• customize a document question-answering agent

When to choose

• you want a working reference implementation of a PDF RAG chatbot with LangGraph
• you are following the Learning LangChain book and want the companion code
• you need a starting template with Next.js frontend, ingestion graph, and retrieval graph

When to avoid

• you need actively maintained software with issue/PR support - the repo is kept for reference only
• you want a production-ready document chatbot without customization
• you prefer a different stack than Next.js, Supabase, and OpenAI

Facets

application · maturity maintenance

rag chatbot agent-framework llm-inference pdf vector-database web-framework artificial-intelligence large-language-models chatbots pdf web-development self-hosted langchain langgraph nextjs openai supabase pdf-chatbot template tutorial retrieval-augmented-generation nodejs typescript web-server

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markdown · JSON · MCP: product_card(name="mayooear/ai-pdf-chatbot-langchain")