Vector Stores
Understand and operate vector databases — indexing, metadata filtering, ANN.
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Confidence · no data yet
After this skill you can…
- Set up Pinecone, Weaviate, or pgvector
- Implement metadata filtering
- Benchmark ANN recall vs latency
Prerequisites
Watch (10 videos)
RAG Explained Visually 🤯 | The AI Technique Behind ChatGPT's Smart Answers
→ Design vector stores for RAG→ Optimize vector search for knowledge retrieval
HyDE Retrieval in Python: Improve RAG Recall with SentenceTransformers
→ Use SentenceTransformers for vector encoding
PixelRAG & Qwen3-VL: The Next Evolution of Multimodal Retrieval. DeepSeek OCR. Visual Language Model
→ Understand Vector Stores for multimodal data→ Apply Visual Language Models for image-text retrieval
Table RAG in Python: Retrieve PDF Tables with Docling and DuckDB
→ Use DuckDB for table ranking→ Implement TF-IDF vectorization
Docling HybridChunker in Python: Keep Headings in RAG Chunks
→ Ingest RAG records into a vector store→ Use lexical scoring for retrieval
Claude Opus 4 + RAG: Build an AI App with Embeddings & Knowledge Graphs | MVP Unplugged
→ Design a vector store for AI data→ Optimize vector store performance
What is a Vector Database? | The Technology Behind Modern AI
→ Design vector databases→ Optimize vector database performance
8: The Eye and the Retina (cont'd)
→ Understand how to store and retrieve vectors→ Apply vector stores to image processing
Vector Database Explained Simply | Semantic Search
→ Design a vector database→ Optimize vector database performance→ Use vector databases in recommendation systems
Vector Databases Explained
→ Design a Vector Database→ Optimize Indexing Techniques→ Compare Vector DBs
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