--- title: How to Implement RAG With Amazon Bedrock and LangChain description: Learn how to implement RAG (retrieval-augmented generation) with Amazon Bedrock and LangChain. Set up Amazon Bedrock, interact with language models, understand... canonical: https://daily.dev/posts/how-to-implement-rag-with-amazon-bedrock-and-langchain-pjer5vxqx twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How to Implement RAG With Amazon Bedrock and LangChain | daily.dev og:description: Learn how to implement RAG (retrieval-augmented generation) with Amazon Bedrock and LangChain. Set up Amazon Bedrock, interact with language models, understand... og:url: https://daily.dev/posts/how-to-implement-rag-with-amazon-bedrock-and-langchain-pjer5vxqx og:image: https://api.daily.dev/og/posts/pjER5VXQX.png og:image:alt: How to Implement RAG With Amazon Bedrock and LangChain og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # How to Implement RAG With Amazon Bedrock and LangChain **[TigerData \(Creators of TimescaleDB\)](https://daily.dev/sources/tigerdata)** · 11 min read · 9 upvotes · 0 comments ## Summary Learn how to implement RAG (retrieval-augmented generation) with Amazon Bedrock and LangChain. Set up Amazon Bedrock, interact with language models, understand pricing, load and split datasets with LangChain, store embeddings, and use a retriever. Discover how to construct a chatbot using Chains and prompts. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#ai](https://daily.dev/tags/ai), [#nlp](https://daily.dev/tags/nlp), [#langchain](https://daily.dev/tags/langchain), [#rag](https://daily.dev/tags/rag), [#amazon-bedrock](https://daily.dev/tags/amazon-bedrock) [View this post on daily.dev](https://daily.dev/posts/how-to-implement-rag-with-amazon-bedrock-and-langchain-pjer5vxqx) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"How to Implement RAG With Amazon Bedrock and LangChain","url":"https://daily.dev/posts/how-to-implement-rag-with-amazon-bedrock-and-langchain-pjer5vxqx","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-to-implement-rag-with-amazon-bedrock-and-langchain-pjer5vxqx"},"datePublished":"2024-05-10T11:04:42.853Z","dateModified":"2024-05-10T11:04:42.093Z","description":"Learn how to implement RAG (retrieval-augmented generation) with Amazon Bedrock and LangChain. Set up Amazon Bedrock, interact with language models, understand...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/b01e0101168caf7c999bc96994a23130?_a=AQAEuiZ","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/b01e0101168caf7c999bc96994a23130?_a=AQAEuiZ","isAccessibleForFree":true,"articleSection":"TigerData (Creators of TimescaleDB)","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"TigerData (Creators of TimescaleDB)","logo":"https://media.daily.dev/image/upload/s--bsnY3goS--/f_auto/v1756960371/squads/timescale?_a=BAMClqZW0","url":"https://daily.dev/squads/tigerdata"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/how-to-implement-rag-with-amazon-bedrock-and-langchain-pjer5vxqx","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":9},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,nlp,langchain,rag,amazon-bedrock","timeRequired":"PT11M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"TigerData (Creators of TimescaleDB)","item":"https://daily.dev/squads/tigerdata"},{"@type":"ListItem","position":3,"name":"How to Implement RAG With Amazon Bedrock and LangChain"}]} ```