---
title: "Discussion on \"How AI read documents ?\" | Hashnode"
description: "Discussion on \"How AI read documents ?\". Ever wonder how AI summarizes long docs without hitting token limits? Learn how RAG (Retrieval Augmented Generation) uses VectorDB to read your data."
url: "https://hashnode.com/posts/how-ai-read-documents/69e7d984e43672781497d455"
---

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# [How AI read documents ?](https://mongodb-aggregation-pipelines.hashnode.dev/how-ai-read-documents?utm_source=hashnode&utm_medium=feed)

Ever wonder how AI summarizes long docs without hitting token limits? Learn how RAG (Retrieval Augmented Generation) uses VectorDB to read your data.

Apr 21 · 2 min read · mongodb-aggregation-pipelines.hashnode.dev  
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-   [#ai](https://hashnode.com/tag/ai)
-   [#ai-agents-explained](https://hashnode.com/tag/ai-agents-explained)
-   [#query-translation-patterns](https://hashnode.com/tag/query-translation-patterns)
-   [#query-optimization](https://hashnode.com/tag/query-optimization)
-   [#query-tuning](https://hashnode.com/tag/query-tuning)
-   [#agentic-ai](https://hashnode.com/tag/agentic-ai)

## Written by

[Ansh Sachan](https://hashnode.com/@ansh421)

@ansh421 · India

  
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Code Smarter not Harder

💻 Full-Stack Developer | 🚀 Building scalable apps with MERN & MongoDB Aggregations 🎯 Writing clean code, sharing dev journeys, and simplifying backend concepts 📚 Always learning | 🛠️ Indie builder | 💡 Teaching what I learn

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