AWS explains how agentic retrieval fixes partial answers in LangChain and Bedrock RAG apps
Why it matters
If your support assistant answers comparison questions, one blended search returns relevant-looking chunks that cover only part of the question.
Ask your team
Do our assistant's answers to multi-part questions cover every part, or only the part the search matched?
What happened
AWS shows how to pair LangChain with Knowledge Bases so a assistant splits a multi-part question into separate searches. A single query vector blurs all the intents together, so answers cover only part of what was asked.
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Impact on Software & SaaS · AI & developer tools
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Read the original at AWS Machine Learning Blog
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