Skills › RAG & Vector Search

Vector Stores

Understand and operate vector databases — indexing, metadata filtering, ANN.

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After this skill you can…

  • Set up Pinecone, Weaviate, or pgvector
  • Implement metadata filtering
  • Benchmark ANN recall vs latency

Prerequisites

Watch (10 videos)

FULLY LOCAL Mistral AI PDF Processing [Hands-on Tutorial]
1littlecoder · beginner hands-on
→ Implement vector stores for efficient information retrieval→ Use ctransformers for PDF processing
Vector Support Public Preview in Azure SQL Database & Managed Instance | Data Exposed
Microsoft Developer · intermediate hands-on
→ Create vector embeddings in Azure SQL Database→ Query vector data with Azure SQL Managed Instance
Spin Up Weaviate
Coursera · intermediate hands-on
→ Deploy Weaviate→ Configure Weaviate for querying→ Populate Weaviate with data
Journey 3: Optimize Your Vector Index for Scale
Microsoft Developer · beginner hands-on
→ Implement vector compression techniques→ Reduce vector index size→ Improve query performance
🚀 Deploy a PRIVATE Chroma Vector DB to AWS | Step by step 🚀
Tim Carambat · beginner hands-on
→ Deploy a vector database to cloud→ Secure vector database with API key
AI-Powered Resumes with Super People & Weaviate
Weaviate vector database · intermediate hands-on
→ Use Weaviate for vector storage→ Query vector databases
Build Advanced Retrieval-Augmented Generation (RAG) with MongoDB Vector Search
Krish Naik · intermediate hands-on
→ Use MongoDB Vector Search for RAG→ Optimize vector stores for performance
Creating & Ingesting Your Own Embeddings in Weaviate | Vector Databases for Beginners | Part 7
Data Science Dojo · beginner hands-on
→ Generate custom embeddings→ Import embeddings into Weaviate
Configuring Vector Search in AlloyDB
Coursera · beginner hands-on
→ Configure vector search in AlloyDB→ Use the Google Cloud console for vector search
Deploy Vector DBs Securely
Coursera · intermediate hands-on
→ Deploy vector databases securely→ Configure vector DBs for production