This chatbot uses LangChain to load and process PDFs from any domain. It splits the PDF content into chunks, embeds the chunks, stores them in a vector database, and retrieves relevant text for generating suitable responses to user queries.
Ensuring that the PDF chunks are properly split and embedded for effective retrieval was a challenge, especially for large documents.
LangChain's PDFLoader and recursive text splitting ensured accurate document processing, while Pinecone's vector database enabled fast, efficient retrieval.
The chatbot provides users with accurate answers from PDFs, making it a powerful tool for document-based information retrieval.