Vector Databases & Embeddings, Explained — From Text to Similarity Search
“Vector database” sounds intimidating, and the explanations usually jump…
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#embeddings
7 posts
Advanced: Vector Databases
Keyword search matches strings: a search for “car” misses a document that only…
Building a RAG Pipeline from Scratch
RAG is the most important pattern in production AI. Not because it is clever…
Vector Databases — Pinecone vs pgvector vs Chroma
In Lesson 5 you built a RAG pipeline using ChromaDB. That was the right choice…
RAG — Give Your AI a Knowledge Base
LLMs know a lot, but they don’t know your data. They can’t read your company…
AI for Developers — Build with LLMs, RAG & Agents
You don’t need a PhD in machine learning to build with AI. You need to know how…
Building a Production RAG Pipeline — From Chunking to Retrieval to Generation
Large Language Models are powerful, but they hallucinate. They confidently make…