supabase-community/nextjs-openai-doc-search resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1732 stars · 315 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Next.js starter template for building a custom ChatGPT-style documentation search over your own .mdx content. It generates OpenAI embeddings at build time, stores them in Supabase Postgres with pgvector, and streams GPT answers grounded in vector similarity search results.

Use cases

• build a chatgpt-style search over my docs
• add an ai question-answering bot to documentation
• create rag search over mdx files
• store openai embeddings in postgres with pgvector
• deploy a docs chatbot to vercel
• semantic search for a next.js site
• let users ask questions about my knowledge base

When to choose

• you have mdx documentation and want a ChatGPT-like ask interface
• you already use or want Supabase Postgres with pgvector as your vector store
• you want a deployable Next.js template on Vercel with minimal setup

When to avoid

• you need a production-grade RAG pipeline with advanced retrieval features
• your content is not markdown/mdx and would require heavy preprocessing
• you want to avoid OpenAI API costs or vendor lock-in
• you need a framework-agnostic or Python-based solution

Facets

learning-resource · maturity maintenance

rag search-engine llm-inference web-framework large-language-models web-development developer-tools serverless nextjs openai supabase pgvector vector-search chatgpt starter-template mdx embeddings vercel boilerplate retrieval-augmented-generation nodejs web-server docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="supabase-community/nextjs-openai-doc-search")