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Vector Databases for Recommendation Systems and RAG Cheat Sheet

6d ago · 5 min read · What is RAG? RAG is a framework that enhances language models by retrieving relevant information from external sources and using it to generate more accurate grounded responses, and thereby reducing t

Chroma DB

Mar 9 · 6 min read · Chroma DB Filtering Filtering in Chroma DB fundamentally differs from traditional SQL based filtering due to its emphasis on vector similarity and flexible metadata querying. Chroma DB supports two pr

Similarity Search by Hand

Mar 4 · 4 min read · Objectives After completing this lab you will be able to: Compute vector similarities and distances, including: L2 (Euclidean) distance Dot product similarity and distance Cosine similarity and di

Introduction for Vector databases for RAG

Mar 2 · 4 min read · Introduction to Vector database and Chroma DB Quick memory notes Vector database types In-memory Store vectors in RAM for very fast reads and writes Suited for real-time analytics and recommendatio

Vector Database for RAG

Feb 28 · 2 min read · Objectives Differentiate between vector database and traditional database based on their functionality and use cases Operating in Chroma DB Understand similarity search, to retrieve relevant inform