Spring AI RAG example indexes dependency source code in PgVector

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A Spring AI retrieval-augmented generation example shows how to index library source code in a PgVector store. Source jars are downloaded via a Gradle task and unpacked, then split into chunks, deduplicated, and embedded. Deduplication relies on stable document ids and checksum metadata, with a JDBC pre-check that skips unchanged files before any embedding call. The indexing step is exposed as an MCP tool, and a chat endpoint answers questions grounded in the indexed code with file citations.

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