Open-source Next.js RAG templates for document Q&A chatbots, PDF chatbot apps, OpenAI embeddings, retrieval augmented generation, citations, and knowledge-base assistants.
Direct answer
A RAG chatbot template for Next.js combines document ingestion, chunking, embeddings, retrieval, and cited answer generation. It is useful for document Q&A chatbots, knowledge-base assistants, support documentation bots, and internal research copilots.
Template collection
RAG Template
A retrieval-augmented chatbot starter that lets users upload or paste knowledge, chunk documents, create OpenAI embeddings, retrieve relevant evidence, and answer questions with citations.
A strong Next.js RAG template includes ingestion, chunking, embeddings, retrieval, cited answers, source previews, and a UI for asking questions over documents.
Use the RAG Chatbot template first because it targets document Q&A, OpenAI embeddings, hybrid retrieval, and citations in one focused starter.
Yes. A RAG chatbot is well suited for support documentation assistants, internal policy Q&A, knowledge-base chatbots, and research copilots.
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