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amirmalik.net
| | blacklight.sh

RAG isn't about vector databases and embeddings, or any specific architecture. It's about retrieving relevant context well.
2.6 parsecs

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| | michael-lewis.com

An introduction to vector search (aka semantic search), and Retrieval Augmented Generation (RAG).
2.2 parsecs

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| | lantern.dev

We give an overview of vector databases, and major concepts around them, including vector embeddings, vector indexing, and vector search.
2.0 parsecs

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| | llm-guard.com

LLM Guard is a comprehensive tool designed to fortify the security of Large Language Models (LLMs).
22.4 parsecs

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