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 weaviate.io
What Is a Vector Database? Similarity Search & Semantic Search for AI | Weaviate
| | blacklight.sh
RAG is (Not) Dead: How to Think about Building RAG Systems | Kyle's Blog
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| | RAG isn't about vector databases and embeddings, or any specific architecture. It's about retrieving relevant context well.
| | www.onehouse.ai
Managing AI Vector Embeddings with Onehouse
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| | Onehouse can host your vector embeddings, at low cost and with great performance. You can then move only needed vectors to a vector database for vector search use cases.
| | amirmalik.net
RAG Embeddings, Chunking, and Retrieval Basics | Amir's Blog
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| | An introduction to Retrieval-Augmented Generation (RAG) and how embeddings, chunking, and vector search work together in the context of LLM search.
| | blog.adnansiddiqi.me
Introduction to LLM | Adnan's Random bytes
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| 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.