Sample Spring AI Application with several use cases
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Updated
Sep 7, 2026 - Java
Sample Spring AI Application with several use cases
A Lucene codec for vector search and clustering on the GPU
API REST de asistente conversacional RAG para consulta de perfil profesional, construida con Java 21, Spring Boot y Spring AI.
Description: Document Q&A using RAG — upload docs, ask questions in natural language. Built with Spring Boot, Spring AI and Claude API.
Spring Boot AI application with RAG (Retrieval-Augmented Generation) using Spring AI and Claude API
Enterprise-grade Agentic RAG platform for intelligent document Q&A. Ingest documents from multiple sources, query using natural language, and receive context-aware answers with source citations using Claude, OpenAI Embeddings, pgvector, and retrieval orchestration.
Spring AI VectorStore for Apache Solr 9 dense vector search ({!knn} + DenseVectorField), with metadata filters as fq.
To associate your repository with the vector-store topic, visit your repo's landing page and select "manage topics."