Examples

Runnable Colab notebooks covering semantic search, lexical search, hybrid search, RAG, embeddings, reranking, and data ingestion with Pinecone.

Sample apps and tools built with Pinecone, including semantic search, multi-tenant RAG, multimodal search, Assistant chat, and pgvector migration.

Official AWS reference architecture for building high-scale production systems with Pinecone, including Pulumi IaC, documentation, and video tutorial.

Notebooks and Next.js sample apps for Pinecone Assistant: quickstart, context snippet retrieval, and a full-stack chat UI with citations.

Next.js sample app for semantic search over PDF legal documents using Pinecone serverless indexes and Voyage AI voyage-law-2 embeddings.

Next.js multi-tenant RAG sample app that uses Pinecone namespaces to isolate document context and chatbot memory per workspace tenant.

Next.js sample chat app that connects to a Pinecone Assistant for grounded answers over uploaded PDFs with citations and file references.

Sample Next.js + FastAPI app for multimodal search across text, images, and videos using Pinecone and Google Vertex AI multimodal embeddings.