Retrieval-Augmented Generation (RAG) with Spring AI, PGVector and Open AI

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Build a Chat Engine with RAG and Chat Memory using Spring AI, PGVector, and OpenAI

In this video, we dive into the world of Retrieval Augmented Generation (RAG) using Spring AI, PG Vector, and Open AI. We'll build a chat engine capable of answering questions based on the latest information or specific to your company's data.

Here's what we cover:
• Understanding the necessity of RAG in modern AI applications
• Exploring what RAG is and how it enhances information retrieval and generation
• Leveraging Vector Databases to optimize RAG performance
• Step-by-step implementation of RAG using Spring AI, PG Vector, and Open AI
• Developing a Chat Memory system using vector databases for enhanced conversational context
• Building a mini-clone of Chat GPT empowered by RAG and Chat Memory

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Tags: #RAG #RetrievalAugmentedGeneration #SpringAI #PGVector #OpenAI #VectorDatabase
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Can you do a video with redis and using similarity search with filter expression?

TomStephen-lzjh
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Hello bro
Can you do this with offline ai model using ollma

liqwis