Semantic Search
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Enterprise Java
Getting Started with Repository Vector Search in Spring Data
With Spring Data, vector search is supported via new repository methods, allowing us to define similarity queries using familiar repository…
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Software Development
Composable Multi-level Cache Strategies for LLM-backed APIs
Building applications on top of large language models is exciting, but there’s a catch that hits you pretty quickly: API…
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Python
Vector Databases Explained: Why Developers Are Talking About Pinecone and Weaviate
Vector databases have become essential infrastructure for modern AI applications. Unlike traditional databases that store text or numbers, vector databases…
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Enterprise Java
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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Enterprise Java
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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