AI PDF Chatbot

Upload one or more PDF documents and ask questions about their content. The agent retrieves the most relevant passages using vector search and generates grounded answers via GPT-4o. This is a fork of the original ai-pdf-chatbot-langchain by mayooear.

How it works

1. Ingest — PDFs are parsed, chunked, embedded with text-embedding-3-small, and stored in a pgvector database.
2. Retrieve — When you ask a question, the top-k most relevant chunks are retrieved using cosine similarity search.
3. Generate — The retrieval graph passes the chunks as context to GPT-4o to produce a grounded answer with source citations.

Usage

Open the frontend at the agent URL, upload up to 5 PDFs (10 MB each), then type your question in the chat box. The agent will answer based on the content of your documents.

Limitations

• PDF only — other file formats are not supported.
• Max 5 files per upload, 10 MB per file.
• The underlying LangGraph dev server is an in-memory store; ingested documents persist only for the lifetime of the running container unless a persistent volume is attached to the postgres knowledge store.