In Spring AI, function calling is the ability for the model to request one or more function calls to be made on its behalf by the ChatBot application. The post Spring AI Function Calling Example appeared first on HowToDoInJava ..read more

Learn to download, install, and run an LLM model using Ollama. Also learn to configure Spring AI Ollama module to access the model's chat API. The post Ollama Local Setup and Spring AI Integration Example appeared first on HowToDoInJava ..read more

Inspired by LangChain4j and LlamaIndex, Spring AI project aims to streamline the development and integration of AI capabilities into existing or new Spring applications. The post Spring AI Tutorial appeared first on HowToDoInJava ..read more

LLMs are quite good at producing the source code when they are provided enough context information and asked very clear questions. The same is true for generating SQL queries when they are provided the table/column information through DDL statements, and clear instructions of output format of the generated SQL statements. Let us see a quick ... Read more The post Query Relation Database using GenAI and Spring AI appeared first on HowToDoInJava ..read more

For creating an ETL pipeline for Spring AI data ingestion microservice, Spring cloud functions are an excellent choice for serverless providers. The post ETL Pipeline using Spring Cloud Function and Spring AI appeared first on HowToDoInJava ..read more

The ETL pipeline ingest raw data sources (text, JSON/XML, audio, video, etc.) to a structured vector store for similarity searches using Spring AI. The post Spring AI ETL Pipeline Example for Data Ingestion appeared first on HowToDoInJava ..read more

In Spring AI, the role of a vector database is to store vector embeddings and facilitate similarity searches for these embeddings. Learn with examples. The post Spring AI VectorStore: Storing and Querying Embeddings appeared first on HowToDoInJava ..read more

In Spring AI Vector Embedding tutorial, learn what is a vector or embedding, how it helps in semantic searches, and how to generate embeddings using OpenAI. The post Spring AI EmbeddingModel: Vector Embedding Example appeared first on HowToDoInJava ..read more

Spring AI currently supports only OpenAI's whisper model for speech transcription to JSON or TEXT files using OpenAiAudioTranscriptionModel class. The post Spring AI Speech to Text Example appeared first on HowToDoInJava ..read more

In Spring AI, SpeechModel and StreamingSpeechModel interfaces allow to interact with Text-to-Speech APIs of supported LLMs such as tts-1 by OpenAI. The post Spring AI SpeechModel: Text to Speech Example appeared first on HowToDoInJava ..read more