--- title: Retrieval-Augmented Generation (RAG) using Llama... description: Retrieval-Augmented Generation (RAG) is a quick and viable approach to training Large Language Models (LLMs) in specialized domain knowledge. The RAG system... canonical: https://daily.dev/posts/retrieval-augmented-generation-rag-using-llama-2-chromadb-together-ai-for-retrieval-qa-lbkixz8uc twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Retrieval-Augmented Generation (RAG) using Llama 2,ChromaDB , Together AI for Retrieval QA | daily.dev og:description: Retrieval-Augmented Generation (RAG) is a quick and viable approach to training Large Language Models (LLMs) in specialized domain knowledge. The RAG system... og:url: https://daily.dev/posts/retrieval-augmented-generation-rag-using-llama-2-chromadb-together-ai-for-retrieval-qa-lbkixz8uc og:image: https://api.daily.dev/og/posts/lBKIXz8uc.png og:image:alt: Retrieval-Augmented Generation (RAG) using Llama 2,ChromaDB , Together AI for Retrieval QA 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. # Retrieval-Augmented Generation (RAG) using Llama 2,ChromaDB , Together AI for Retrieval QA **[GoPenAI](https://daily.dev/sources/gopenai)** · 6 min read · 1 upvotes · 0 comments ## Summary Retrieval-Augmented Generation (RAG) is a quick and viable approach to training Large Language Models (LLMs) in specialized domain knowledge. The RAG system involves a retrieval phase that searches for relevant documents and a generation phase that uses the retrieved documents to produce informative and accurate responses. The post also provides instructions for setting up the Together API and storing documents in ChromaDB. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#llm](https://daily.dev/tags/llm), [#langchain](https://daily.dev/tags/langchain), [#llama](https://daily.dev/tags/llama), [#rag](https://daily.dev/tags/rag) [View this post on daily.dev](https://daily.dev/posts/retrieval-augmented-generation-rag-using-llama-2-chromadb-together-ai-for-retrieval-qa-lbkixz8uc) ```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":"Retrieval-Augmented Generation (RAG) using Llama 2,ChromaDB , Together AI for Retrieval QA","url":"https://daily.dev/posts/retrieval-augmented-generation-rag-using-llama-2-chromadb-together-ai-for-retrieval-qa-lbkixz8uc","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/retrieval-augmented-generation-rag-using-llama-2-chromadb-together-ai-for-retrieval-qa-lbkixz8uc"},"datePublished":"2023-12-30T12:44:23.012Z","dateModified":"2023-12-30T12:44:22.137Z","description":"Retrieval-Augmented Generation (RAG) is a quick and viable approach to training Large Language Models (LLMs) in specialized domain knowledge. 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