Introduction to Spring AI | Build Intelligent Applications using Spring AI | Connect with GPT Models

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Hi guys! Welcome back!

Welcome to our comprehensive guide on Introduction to Spring AI, Build Intelligent Applications using Spring AI and how to Connect with GPT Models.

Spring AI provides the following features:

Support for all major Model providers such as OpenAI, Microsoft, Amazon, Google, and Huggingface.
Supported Model types are Chat and Text to Image with more on the way.
Portable API across AI providers for Chat and for Embedding models. Both synchronous and stream API options are supported. Dropping down to access model specific features is also supported.
Mapping of AI Model output to POJOs.
Support for all major Vector Database providers such as Azure Vector Search, Chroma, Milvus, Neo4j, PostgreSQL/PGVector, PineCone, Qdrant, Redis, and Weaviate
Portable API across Vector Store providers, including a novel SQL-like metadata filter API that is also portable.
Function calling
Spring Boot Auto Configuration and Starters for AI Models and Vector Stores.
ETL framework for Data Engineering

In this video we’ll walk you through:
- Introduction to Spring AI

TIMESTAMPS
0:00 Introduction to Spring AI
1:38 OPEN AI Integration
2:32 Code overview and examples

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Can you create another tutorial or a blog consuming Llama 3 api in a springboot application as it's free .

rahulkharapkar
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Sir you said that you launch your interview course related to java & spring boot and i want that Can you early to launch these courses because right now I am in my 6-sem i don't want to lose my time with other courses please earlier

tarun