Build Retrieval-Augmented Generation (RAG) with Databricks and Pinecone
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10 ай бұрынIn this session, we explore Retrieval Augmented Generation (RAG) and how to develop RAG-powered GenAI applications at scale with Databricks and Pinecone.
@kevon217 10 ай бұрын
Great overview! Very excited to see what people will build with this.
@RadThings 10 ай бұрын
Really great presentation. One of the best explanations of Embeddings, vector DBs, and RAG architecture. Question regarding access control in the vector db. Is the way to handle access controls is to add a metadata attribute that has a Role for each embedding so when a user queries the vector db the user’s role is then filtered on the metadata role attribute only allowing them to see which content they are allowed to?
@auddy7889 10 ай бұрын
Where to find the demo notebook links?
@mrgrumples 10 ай бұрын
This video mentions a blog post. Can you share that link?
@MrXxXx420 10 ай бұрын
Really good presentation. Thanks. But How many presentations are you guys gonna post about RAGs? I think it's getting very repetitive.
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