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You are here		garrit.xyz How embedding models encode semantic meaning | Garrit's Notes
|	|	www.ethanrosenthal.com Do you actually need a vector database? | Ethan Rosenthal	4.6 parsecs away Travel
|	|	Spoiler alert: the answer is maybe! Although, my inclusion of the word "actually" betrays my bias. Vector databases are having their day right now. Three different vector DB companies have raised money on valuations up to $700 million (paywall link). Surprisingly, their rise in popularity is not for their "original" purpose in recommendation systems, but rather as an auxillary tool for Large Language Models (LLMs). Many online examples of combining embeddings with LLMs will show you how they store the em...
|	|	blog.adnansiddiqi.me Introduction to LLM | Adnan's Random bytes	3.1 parsecs away Travel
|	|	Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.
|	|	www.danieldemmel.me Understanding embeddings and how to use them for semantic search	2.1 parsecs away Travel
|	|	Part one of the series Building applications using embeddings vector search and Large Language Models
|	|	lantern.dev Vector databases explained | Lantern Blog	26.3 parsecs away Travel
|		We give an overview of vector databases, and major concepts around them, including vector embeddings, vector indexing, and vector search.

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