Vector Databases Explained — Embeddings, Qdrant & RAG Retrieval

Analytics Vidhya · Beginner ·🔍 RAG & Vector Search ·2h ago

Skills: RAG Basics90%Vector Stores80%

Description: We previously discussed relational databases for chat history, but Karan's RAG system needs a different approach for documents. This video explains how vector storage works and why it's essential for semantic search, which finds relevant text based on meaning, not just keywords. We cover the entire rag pipeline, from how documents get indexed using vector embeddings to the retrieval process, making it a foundational guide for ai for developers. Hashtags: #VectorDatabase #Qdrant #RAG #Embeddings #FastAPI

Watch on YouTube ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

More on: RAG Basics

View skill →

High Performance (Realtime) RAG Chains: From Basic to Advanced

High Performance (Realtime) RAG Chains: From Basic to Advanced

Coding the Ultimate RAG Engine from Zero

Coding the Ultimate RAG Engine from Zero

Building Agentic RAG From Scratch in Pure Python

Building Agentic RAG From Scratch in Pure Python

Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

RAG Demo for Beginners: Full Hands-On Tutorial in Tamil | Build Your Own RAG AI | Karthik's Show

RAG Demo for Beginners: Full Hands-On Tutorial in Tamil | Build Your Own RAG AI | Karthik's Show

RAG with LangChain on Google Cloud

RAG with LangChain on Google Cloud

Google Cloud Tech

Related AI Lessons

How to build a production RAG pipeline in Python (without a vector database)

Learn to build a production-ready RAG pipeline in Python without relying on a vector database, and understand the key considerations for a scalable and efficient implementation

Dev.to · Ayi NEDJIMI

Architecting Sub-150ms Hybrid RAG for Voice Agents: Combining pgvector, BM25, and Async FastAPI…

Learn how to architect a sub-150ms hybrid RAG for voice agents using pgvector, BM25, and Async FastAPI to serve large industrial catalogs

Medium · Python

Security Controls in Enterprise RAG: Keys, Audit Logs, and the Hierarchy That Prevents Role Elevation

Implement security controls in Enterprise RAG to prevent role elevation and ensure data integrity

Dev.to · Manjunath

Four Metrics That Actually Tell You Whether Your Enterprise RAG Is Working

Learn the 4 key metrics to evaluate the effectiveness of your Enterprise RAG implementation and improve its performance

Dev.to · Manjunath

Watch this before applying for jobs as a developer.