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Integrations & Ops: Third Party, Fine-Tuning, and Cost Tracking
RAG using Pinecone

RAG using Pinecone

An end-to-end RAG example integrating with Pinecone as the vector database.

  • Upstream notebook: third_party/Pinecone/rag_using_pinecone.ipynb

What to focus on

  • Data ingestion and indexing choices
  • Retrieval + answer synthesis wiring
  • Operational concerns: cost, latency, and refresh strategy

Run locally 

make test-notebooks NOTEBOOK=third_party/Pinecone/rag_using_pinecone.ipynb
RAG using MongoDB