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description=Inspired by LangChain4j and LlamaIndex, Spring AI project aims to streamline the development and integration of AI capabilities into Spring applications.;
author=Lokesh Gupta;

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spring ai tutorial skip to content menu menu java spring ai spring boot hibernate junit 5 interview spring ai tutorial inspired by langchain4j and llamaindex spring ai project aims to streamline the development and integration of ai capabilities into existing or new spring applications lokesh gupta august 15 2024 series spring ai spring ai inspired by langchain4j and llamaindex spring ai project aims to streamline the development and integration of ai capabilities into existing or new spring applications by utilizing the well known coding patterns in other modules such as jdbctemplate or restclient the integration hides all sorts of complexities in dealing with llms from all supported vendors such as openai microsoft amazon google and hugging face spring ai provides high level interfaces such as chatmodel imagemodel vectorstore etc and implements these interfaces into different modules whereas each module provides integration points to a certain llm we can import these modules as and when required for example to work with openai models we can import the dependency dependency groupid org springframework ai groupid artifactid spring ai openai spring boot starter artifactid dependency and use the autoconfigured beans chatclient chatmodel etc to interact with llms restcontroller public class openaichatcontroller private final chatclient chatclient autowired public openaichatcontroller chatclient chatclient this chatclient chatclient getmapping joke service simple public map string string tellsimplejoke return map of generation chatclient call tell me a joke the following tutorials discuss each sub topic feature in detail with examples 1 getting started getting started with spring ai spring ai prompttemplate spring ai structured output converters ollama local setup and spring ai integration 2 models spring ai embeddingmodel spring ai imagemodel text to image spring ai speechmodel text to speech spring ai audiotranscriptionmodel speech to text 3 vector store spring ai vectorstore with chromadb spring ai and pgvectorstore examples 4 advance features spring ai function calling example 5 etl pipeline spring ai etl pipeline example etl pipeline using spring cloud function 6 usecases query relation database using genai and spring ai spring ai rag example with chatbot ui source code on github leave a comment raj kamal september 18 2024 at 2 00 pm good start lokesh its giving a good start for learner to ai world with spring comments are closed spring ai tutorial spring ai introduction prompttemplate text to speech speech to text function calling embeddingmodel pgvectorstore chromadb rag with openai query relation database setting up ollama etl pipeline 1 etl pipeline 2 custom advisors table of contents 1 getting started 2 models 3 vector store 4 advance features 5 etl pipeline 6 usecases lokesh gupta a fun loving family man passionate about computers and problem solving with over 15 years of experience in java and related technologies an avid sci fi movie enthusiast and a fan of christopher nolan and quentin tarantino follow on twitter portfolio previous query relation database using genai and spring ai next setting up ollama and connecting with spring ai about us howtodoinjava provides tutorials and how to guides on java and related technologies it also shares the best practices algorithms solutions and frequently asked interview questions tutorial series oop regex maven logging typescript python meta links about us advertise contact us privacy policy our blogs rest api tutorial follow on github linkedin twitter facebook copyright 2026 sitemap search for