Streamlining RAG Applications with Pinecone's OSS Framework: Canopy
summary
Canopy is Pinecone’s open source RAG framework that automates chunking, embedding, indexing and prompting so a developer only needs a Pinecone API key and an OpenAI API key. Defaults include 256-token chunks, batched embeddings at 400 and upserts at 200, a cosine P1 Pinecone index, and support for OpenAI + Cohere embeddings as of v0.5. A live demo shows 10 research papers producing 805 vectors from 10 papers, the pipeline completes and returns contexted LLM answers.
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chapters (9)
- 0:00Pinecone's Canopy RAG framework
- 4:18Challenges in RAG applications
- 7:53Canopy simplifies data prep
- 10:00Effortless vectorization with Canopy
- 11:27Indexing documents into Pinecone
- 13:33Prompt engineering simplified
- 15:41Live demo of Canopy
- 23:54Canopy's future features
- 24:57Q&A on security
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