Category
vector database
2 articles across 2 sub-topics
Langchain(1)
LangChain RAG: Retrieval-Augmented Generation in Practice
⚡ TLDR: RAG in 30 Seconds TLDR: RAG (Retrieval-Augmented Generation) fixes the LLM knowledge-cutoff problem by fetching relevant documents at query time and injecting them as context. With LangChain you build the full pipeline — load → split → embed...
•18 min read
Ai(1)
A Beginner's Guide to Vector Database Principles
TLDR: A vector database stores meaning as numbers so you can search by intent, not exact keywords. That is why "reset my password" can find "account recovery steps" even if the words are different. 📖 Searching by Meaning, Not by Words A standard d...
•14 min read