AI Templates
RAG Chatbots

RAG chatbot templates for Next.js

Open-source Next.js RAG templates for document Q&A chatbots, PDF chatbot apps, OpenAI embeddings, Pinecone vector search, retrieval augmented generation, citations, and knowledge-base assistants.

Direct answer

A RAG chatbot template for Next.js combines document ingestion, chunking, embeddings, vector database retrieval, and cited answer generation. It is useful for document Q&A chatbots, Pinecone knowledge-base assistants, support documentation bots, and internal research copilots.

Template collection

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Frequently asked questions

What does a Next.js RAG template include?

A strong Next.js RAG template includes ingestion, chunking, embeddings, retrieval, cited answers, source previews, and a UI for asking questions over documents.

Which existing template should I use first for RAG?

Use the RAG Chatbot template for a general document Q&A starter, or AI Chatbot With Pinecone when you want uploads, OpenAI embeddings, Pinecone vector storage, retrieval, and cited answers.

Which RAG template uses Pinecone?

AI Chatbot With Pinecone is the Pinecone RAG chatbot template. It uploads PDFs or text, creates OpenAI embeddings, stores chunks in Pinecone, retrieves relevant context, and answers with citations.

Can a RAG chatbot be used for support documentation?

Yes. A RAG chatbot is well suited for support documentation assistants, internal policy Q&A, knowledge-base chatbots, and research copilots.