NEW RAG Framework: Canopy
BERT
Technique
Hugging Face
Company
Semantic Search
Topic
Vector Similarity Search
Technique
Vector Search
Technique
Retrieval Augmented Generation
Technique
OpenAI
Company
ChatGPT
Tool
Retrieval Augmented Generation Tutorial
Format
RAG Tutorial
Format
RAG LangChain
Topic
Generative AI
Vertical
RAG
Technique
Developers
Audience
Canopy is a new retrieval augmented generation (RAG) framework from the Pinecone GenAI team. The idea is to make top-tier RAG performance super easy to achieve without the need of understanding every little component in the pipeline. In this video we'll see how to use Canopy, from the data format through to the RAG evaluation available via the Canopy CLI. 📌 Code: https://github.com/pinecone-io/examples/blob/master/learn/generation/canopy/00-canopy-data-prep.ipynb 🌲 Canopy on GitHub: https://github.com/pinecone-io/canopy 00:00 Canopy RAG Framework 01:31 Canopy Setup 04:23 Data Input to Canopy 07:04 Upserting with Canopy 08:24 Chatting with Canopy CLI 10:21 RAG vs. LLM only 12:24 Handling Complex Queries in RAG
