Streamlining RAG Applications with Canopy

Resources:
– Slide deck: https://docs.google.com/presentation/d/11O5QC_HN_KN_Np3LXXia8eblc0m8SrdS_-H3zB9EyEY/edit?usp=sharing
– Forum thread, feat. highlights and Q&A answers: https://community.pinecone.io/t/jan-9-webinar-highlights-streamlining-rag-apps-with-canopy/4015/1

Join us for a technical deep dive into Pinecone’s open-source RAG framework: Canopy. With Canopy, you can build and launch Production GenAI apps quickly and easily. By taking care of chunking, vectorization, LLM orchestration, and prompt engineering, Canopy abstracts away the heavy lifting of building RAG pipelines, leaving you with the energy to focus what’s important: building your end product. And since it’s completely opensource, you can extend and customize Canopy to meet any use case.

We will end with a live demo of Canopy, building a RAG pipeline around an excerpt of Arxiv.org articles from our HuggingFace datasets: https://huggingface.co/datasets/jamescalam/ai-arxiv/viewer/default/train