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You can use Vector Search and embeddings to easily combine your data with large language models like GPT-4. I just published a course on the channel that will teach you how to implement Vector Search on three different projects. First, you will learn about the concepts and then
You can use Vector Search and embeddings to easily combine your data with large
language models like GPT-4.
I just published a course on the channel that will
teach you how to implement Vector Search on three different projects.
First, you will learn about the concepts and then I'll guide you through
developing three projects.
In the first project we build a semantic search feature to find movies using
natural language queries. For this we use Python, machine learning
Retrieval Augmented Generation (RAG)
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Jorge Irsay (@jirsay) / X
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Generative AI, Retrieval Augmented Generation (RAG), and Langchain - Cisco Community
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Improve your RAG application response quality with real-time structured data
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