Obsidian-MBPM4
e371e2e11b
Affected files: .obsidian/workspace.json .obsidian_iphone/plugins/obsidian-spaced-repetition/data.json .obsidian_iphone/workspace-mobile.json Temporary/RAG.md
16 lines
668 B
Markdown
16 lines
668 B
Markdown
---
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title: RAG
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created_date: 2025-07-23
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updated_date: 2025-07-23
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aliases:
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tags:
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---
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# RAG
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## LangChain Tutorial
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[Build a Retrieval Augmented Generation (RAG) App: Part 1 | 🦜️🔗 LangChain](https://python.langchain.com/docs/tutorials/rag/)
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### Indexing
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The indexing is a pipeline for ingesting data and index it. This usually happens offline.
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1. We need to *load* the data. This can come from a variety of different sources
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2. We need to *split* the data into chunks because its easier for indexing and for passing it into a model.
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3. We need to *store* and index the splits such that we can search over them later. Examples are VectorStore and Embeddings model. |