How to Use Embeddings Model API in Spring AI

Embeddings are numerical vector representations of data (often text) that capture semantic meaning in a format suitable for similarity search,…

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How to Use Spring AI to Extract Structured Data from Images

Extracting structured data from images is a requirement in many domains, including scanning receipts and documents, analyzing visual content in…

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Spring AI DeepSeek COT Example

In recent years, artificial intelligence (AI) has become one of the most powerful tools for automating tasks and enhancing user…

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Spring AI Testing: AI Evaluators Example

Large Language Models (LLMs) have become an integral part of modern applications, but ensuring their accuracy and reliability is crucial.…

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Building a Semantic Search System with Spring AI and PGVector

Semantic search enhances traditional keyword-based search by understanding the meaning and context of queries rather than relying on exact keyword…

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Hugging Face Models With Spring AI and Ollama Example

Ollama provides a lightweight way to run LLM models locally, and Spring AI enables seamless integration with AI models in…

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Spring AI With Anthropic’s Claude Models Example

Anthropic’s Claude models are powerful AI assistants that can be integrated with Spring AI to build chatbots and AI-powered applications.…

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Building AI Assistants with Spring AI

Artificial Intelligence (AI) assistants are increasingly becoming an essential part of modern applications. They can enhance user experience by offering…

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Getting Started with Spring AI Advisors

The Spring AI Advisors API is a powerful framework that provides a structured and extensible way to intercept, modify, and…

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