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RAGFlow × OceanBase seekdb: Agent-Ready Data Retrieval in Minutes

Dinah Zhang
Dinah Zhang
Published on March 6, 2026
9 minute read
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Key Takeaways
  • Agent-era RAG turns retrieval from a one-shot step into a continuous hot loop — every plan, tool call, and self-correction cycle hits the data layer again, so weak retrieval doesn't just produce bad answers, it compounds into flawed actions.
  • The fix is native hybrid retrieval: vector similarity, full-text matching, and structured filtering executed in a single engine with predictable latency. OceanBase seekdb provides exactly this, with MySQL-compatible connectivity.
  • This guide walks through deploying RAGFlow with seekdb as both the retrieval engine and (optionally) the metadata store — from Docker setup to indexing documents and running your first hybrid search query.
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