---
title: "Discussion on \"Embeddings and RAG — How AI Systems Actually Know Things\" | Hashnode"
description: "Discussion on \"Embeddings and RAG — How AI Systems Actually Know Things\". A RAG from scratch with sentence-transformers and ChromaDB. Covers embeddings, chunking, semantic and a 6-case eval suite that caught a document gap."
url: "https://hashnode.com/posts/embeddings-and-rag-how-ai-systems-actually-know-things/6a4b425957a1483955bb0fd0"
---

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# [Embeddings and RAG — How AI Systems Actually Know Things](https://learn.sannan.app/embeddings-and-rag-how-ai-systems-actually-know-things?utm_source=hashnode&utm_medium=feed)

A RAG from scratch with sentence-transformers and ChromaDB. Covers embeddings, chunking, semantic and a 6-case eval suite that caught a document gap.

Jul 6 · 10 min read · learn.sannan.app  
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-   [#python](https://hashnode.com/tag/python)
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-   [#rag-retrievalaugmentedgeneration-llmapplications-technicaldocs-sensorengineering-multimodalai-graphrag-hydeprompting-aiforengineers-knowledgegraphs-machinelearning-langchain-llamaindex-ocr-mechatronics-industrialai-smartmanufacturing-aiknowledgemanagement-semanticsearch-aiinfrastructure](https://hashnode.com/tag/rag-retrievalaugmentedgeneration-llmapplications-technicaldocs-sensorengineering-multimodalai-graphrag-hydeprompting-aiforengineers-knowledgegraphs-machinelearning-langchain-llamaindex-ocr-mechatronics-industrialai-smartmanufacturing-aiknowledgemanagement-semanticsearch-aiinfrastructure)

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