SURAJ-K-GUPTA/nextjs-langchain-gemini-rag-pdf-chatbot

Next.js LangChain Gemini RAG Chatbot: An advanced Retrieval-Augmented Generation (RAG) chatbot that enables users to upload multiple PDFs and receive precise answers to their questions based on the content. Powered by LangChain and Gemini, this chatbot is built with Next.js and offers efficient PDF-based query handling for enhanced user engagement.

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Experimental

I appreciate you providing the context, but I need to be transparent: the README you've shared is the standard Next.js boilerplate template and doesn't contain project-specific technical details about the RAG implementation, vector storage approach, PDF parsing strategy, or integration specifics. To write an accurate technical summary that goes deeper than the GitHub description, I would need the actual project README to contain sections covering: - Vector database/embedding storage details (e.g., Pinecone, Weaviate, Chroma) - PDF parsing library (e.g., pdf-parse, pdfjs-dist) - LangChain component usage (chains, memory management, document loaders) - API structure (server actions, API routes for ingestion/querying) - Authentication or deployment specifics **Would you be able to provide the full README from the repository?** That would allow me to extract the substantive technical details

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TypeScript

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gemini-pdf-rag

Last pushed

Nov 10, 2024

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