AI Chatbot with RAG (OpenAI + Pinecone)
Create a RAG-powered chatbot using OpenAI for embeddings and chat, Pinecone for vector search, and Supabase for metadata.
Stack Components
Supabase
Postgres development platform with instant APIs, auth, realtime sync, storage, pgvector support, and an MCP experience that fits modern AI app teams.
Vercel
AI cloud for shipping web products with Git-based deployment, previews, global edge delivery, agent tooling, fluid compute, and integrated AI app infrastructure.
Pinecone
Managed vector database for semantic search and hybrid retrieval with serverless operations, metadata filters, and production-ready indexing for AI workloads.
OpenAI API
OpenAI's platform API for chat, tool-calling agents, realtime voice, structured outputs, image generation, and production AI product backends.
Pinecone
Purpose-built vector database for production retrieval with hybrid search, reranking, tenant isolation, and managed serverless or BYOC deployment.
- 1Supabase
Postgres development platform with instant APIs, auth, realtime sync, storage, pgvector support, and an MCP experience that fits modern AI app teams.
- 2Vercel
AI cloud for shipping web products with Git-based deployment, previews, global edge delivery, agent tooling, fluid compute, and integrated AI app infrastructure.
- 3Pinecone
Managed vector database for semantic search and hybrid retrieval with serverless operations, metadata filters, and production-ready indexing for AI workloads.
- 4OpenAI API
OpenAI's platform API for chat, tool-calling agents, realtime voice, structured outputs, image generation, and production AI product backends.
- 5Pinecone
Purpose-built vector database for production retrieval with hybrid search, reranking, tenant isolation, and managed serverless or BYOC deployment.