--- title: 6 Components of Context Engineering | daily.dev description: Context engineering is the practice of optimizing how information flows to AI models, comprising six core components: prompting techniques (few-shot,... canonical: https://daily.dev/posts/6-components-of-context-engineering-0oewqo6qr twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: 6 Components of Context Engineering | daily.dev og:description: Context engineering is the practice of optimizing how information flows to AI models, comprising six core components: prompting techniques (few-shot,... og:url: https://daily.dev/posts/6-components-of-context-engineering-0oewqo6qr og:image: https://api.daily.dev/og/posts/0oEWQO6qR.png og:image:alt: 6 Components of Context Engineering 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. # 6 Components of Context Engineering **[Daily Dose of Data Science \| Avi Chawla \| Substack](https://daily.dev/sources/dailydoseofds)** · 5 min read · 87 upvotes · 3 comments ## Summary Context engineering is the practice of optimizing how information flows to AI models, comprising six core components: prompting techniques (few-shot, chain-of-thought), query augmentation (rewriting, expansion, decomposition), long-term memory (vector/graph databases for episodic, semantic, and procedural memory), short-term memory (conversation history management), knowledge base retrieval (RAG pipelines with pre-retrieval, retrieval, and augmentation layers), and tools/agents (single and multi-agent architectures, MCPs). While model selection and prompts contribute only 25% to output quality, the remaining 75% comes from properly engineering these context components to deliver the right information at the right time in the right format. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Community discussion Top comments from developers on daily.dev. **@zalts** · 1 upvotes > would be interesting to see core components for saving tokens while keeping the same efficiency ## Similar posts on daily.dev - [Context Engineering: A Definitive Guide](https://daily.dev/posts/context-engineering-a-definitive-guide-wbko2k9kr) · SingleStore · 15 upvotes · 0 comments - [Context Engineering for AI Agents](https://daily.dev/posts/context-engineering-for-ai-agents-avgejtgyd) · Weaviate · 56 upvotes · 0 comments - [Effective Context Engineering to Build Better AI Agents](https://daily.dev/posts/effective-context-engineering-to-build-better-ai-agents-kcqivyywk) · DigitalOcean Community · 1 upvotes · 0 comments - [Context Engineering: The Foundation for Reliable AI Agents](https://daily.dev/posts/context-engineering-the-foundation-for-reliable-ai-agents-kkiepi3co) · The New Stack · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#llm](https://daily.dev/tags/llm), [#prompt-engineering](https://daily.dev/tags/prompt-engineering), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search) [View this post on daily.dev](https://daily.dev/posts/6-components-of-context-engineering-0oewqo6qr) ```json 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