Automated PDF Upload & AI Data Retrieval Workflow

This workflow automates the process of uploading a PDF file via a form, storing and embedding its content in a vector database, and enabling intelligent AI-based retrieval and interaction. The process begins with a user submitting a form containing a PDF file, which is then processed into chunks and stored in Pinecone. It leverages OpenAI’s embeddings to convert document sections into vectors, enabling efficient semantic search. An AI agent, backed by GPT-4, interacts with users by retrieving relevant data from the vector database based on their queries. This setup is ideal for automating knowledge-based customer support, document analysis, or Q&A systems where dynamic, context-aware responses are needed.