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Exploring Spring AI 2.0 capabilities: RAG pipeline with intelligent agents, query routing, answer evaluation, and multi-format document ingestion using pgvector
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11
commits
Merge branch 'main' of https://github.com/sajal48/Spring_rag_ai
3e83ab3View on GitHubfeat: Implement conversation-aware query transformation for improved context handling
c3b8239View on GitHubfeat: Add agent configuration and evaluation components for query routing and answer quality assessment
139b020View on GitHubfeat: Implement asynchronous document ingestion with WebSocket progress updates
edd0e51View on GitHubfeat: Implement ETL pipeline for document ingestion with support for multiple formats
19ddb19View on GitHubfeat: agentic RAG improvements — smart chunking, query rewriting, multi-query expansion
2b2027eView on GitHubfeat: Enhance chat application with document ingestion capabilities and UI improvements
0b4fd04View on GitHubfeat: Implement document ingestion service with REST endpoints for text and file uploads
37c23ffView on GitHubfeat: Initialize RAG Chat application with Spring Boot and AI chat client integration
9771fb9View on GitHub