Vector Stores

After this skill you can…

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

Prerequisites

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40 LPA AI Engineer Journey 🚀 | RAG Day 9 | 180 Day AI Challenge

CodeWithPrashant · beginner

→ Use Vector DB for information retrieval→ Integrate Vector DB with AI models

HyDE Retrieval in Python: Improve RAG Recall with SentenceTransformers

Professor Py: AI Engineering · intermediate

→ Use SentenceTransformers for vector encoding

Table RAG in Python: Retrieve PDF Tables with Docling and DuckDB

Professor Py: AI Engineering · beginner hands-on

→ Use DuckDB for table ranking→ Implement TF-IDF vectorization

RAG Explained Visually 🤯 | The AI Technique Behind ChatGPT's Smart Answers

TechNextLabTelugu · beginner

→ Design vector stores for RAG→ Optimize vector search for knowledge retrieval

What is a Vector Database? | The Technology Behind Modern AI

Neural Monk · beginner hands-on

→ Design vector databases→ Optimize vector database performance

8: The Eye and the Retina (cont'd)

MIT OpenCourseWare · intermediate theory

→ Understand how to store and retrieve vectors→ Apply vector stores to image processing

Vector Database Explained Simply | Semantic Search

GetDevOpsReady · beginner

→ Design a vector database→ Optimize vector database performance→ Use vector databases in recommendation systems

AI Search is *forcing* your website code to change.

Casey Keith · intermediate

→ Understand the importance of search engine indexes→ Use vector stores for efficient data retrieval

Vector Databases Explained

Analytics Vidhya · beginner

→ Design a Vector Database→ Optimize Indexing Techniques→ Compare Vector DBs

Build a RAG System from Scratch with Python

Analytics Vidhya · intermediate

→ Use ChromaDB for vector storage

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