From RAG to autonomous apps with Weaviate and Gemini on Google Kubernetes Engine

Описание: As generative AI applications mature, retrieval-augmented generation (RAG) has become popular for improving large language model-based apps. We expect teams to move beyond basic RAG to autonomous agents and generative loops. We'll set up a Weaviate vector database on Google Kubernetes Engine (GKE) and Gemini to showcase generative feedback loops.

After this session, a Google Cloud GKE user should be able to:
Deploy Weaviate open source on GKE
Set up a pipeline to ingest data from the Cloud Storage bucket
Query, RAG, and enhance the responses

Speakers: Brian Kaufman, Bob van Luijt

Watch more:
All sessions from Google Cloud Next → https://goo.gle/next24

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