[{"data":1,"prerenderedAt":133},["ShallowReactive",2],{"navigation":3,"\u002Fblog\u002Fvector-storage-in-rag-choosing-right-backend":25,"\u002Fblog\u002Fvector-storage-in-rag-choosing-right-backend-surround":131},[4],{"title":5,"path":6,"stem":7,"children":8,"page":24},"Blog","\u002Fblog","blog",[9,13,17,21],{"title":10,"path":11,"stem":12},"[object Object]","\u002Fblog\u002Fbanksy-what-not-to-do-with-ai","blog\u002Fbanksy-what-not-to-do-with-ai",{"title":14,"path":15,"stem":16},"Making Sense During the AI Revolution","\u002Fblog\u002Fmaking-sense-during-ai-revolution","blog\u002Fmaking-sense-during-ai-revolution",{"title":18,"path":19,"stem":20},"RAG vs AI Wiki","\u002Fblog\u002Frag-vs-ai-wiki-evolution-of-context","blog\u002Frag-vs-ai-wiki-evolution-of-context",{"title":10,"path":22,"stem":23},"\u002Fblog\u002Fvector-storage-in-rag-choosing-right-backend","blog\u002Fvector-storage-in-rag-choosing-right-backend",false,{"id":26,"title":10,"author":27,"body":28,"date":27,"description":34,"extension":116,"image":27,"meta":117,"minRead":27,"navigation":118,"path":22,"seo":119,"stem":23,"__hash__":130},"blog\u002Fblog\u002Fvector-storage-in-rag-choosing-right-backend.md",null,{"type":29,"value":30,"toc":108},"minimark",[31,35,38,43,56,60,71,75,86,90,105],[32,33,34],"p",{},"Selecting vector storage is not just a database decision. It is an operational decision.",[32,36,37],{},"This comparison focuses on four dimensions: latency, cost, security, and multitenancy.",[39,40,42],"h2",{"id":41},"rds-based-patterns","RDS-based patterns",[44,45,46,50,53],"ul",{},[47,48,49],"li",{},"Good transactional control and governance.",[47,51,52],{},"Predictable operational model for SQL-heavy teams.",[47,54,55],{},"May require careful indexing strategy under high retrieval concurrency.",[39,57,59],{"id":58},"s3-based-patterns","S3-based patterns",[44,61,62,65,68],{},[47,63,64],{},"Low-cost storage and high durability.",[47,66,67],{},"Useful for batched or offline retrieval workflows.",[47,69,70],{},"Requires additional orchestration for low-latency serving paths.",[39,72,74],{"id":73},"opensearch-based-patterns","OpenSearch-based patterns",[44,76,77,80,83],{},[47,78,79],{},"Strong query flexibility and integrated observability tooling.",[47,81,82],{},"Useful when search analytics and retrieval debugging matter.",[47,84,85],{},"Cost and scaling behavior need active tuning.",[39,87,89],{"id":88},"practical-rollout-sequence","Practical rollout sequence",[91,92,93,96,99,102],"ol",{},[47,94,95],{},"Deploy baseline to local clusters (Minikube).",[47,97,98],{},"Add OpenSearch logging for retrieval traces.",[47,100,101],{},"Run backend variations (RDS, S3, OpenSearch).",[47,103,104],{},"Validate cloud deployment path (including Bedrock model routing where applicable).",[32,106,107],{},"The best option is the one your team can operate reliably under real load.",{"title":109,"searchDepth":110,"depth":110,"links":111},"",2,[112,113,114,115],{"id":41,"depth":110,"text":42},{"id":58,"depth":110,"text":59},{"id":73,"depth":110,"text":74},{"id":88,"depth":110,"text":89},"md",{},true,{"title":120,"description":34},{"Vector Storage in RAG":121,"description":122,"date":123,"image":124,"minRead":125,"author":126},"Choosing the Right Backend","Comparing RDS, S3, and OpenSearch for latency, cost, security, and multitenancy in production RAG systems.","2026-05-24","\u002Fimages\u002Fterraform_iaac.jpeg",9,{"name":127,"avatar":128},"Andrés Renaud",{"src":129,"alt":127},"\u002Favatars\u002Fplaceholder.svg","W0rrGpQDOzFmDhpbcSZeg7ZLEeVbGQlaQjd58_rVNWA",[132,27],{"title":18,"path":19,"stem":20,"description":10,"children":-1},1780335304825]