FREE DATABASES & DATA SYSTEMS TRACK
Vector & retrieval systems
How do we retrieve by meaning instead of exact keys?
How do we retrieve by meaning instead of exact keys?
Understand embeddings, approximate nearest-neighbor indexes, filtering, recall/latency tradeoffs, hybrid search, and RAG evaluation.
Systems compared
- pgvector
- Qdrant
- Milvus
- Weaviate
- Pinecone
Open the engine
- Vector similarity
- HNSW and IVF indexes
- Metadata filtering
- Hybrid retrieval
- Recall, latency, and evaluation
Reconstruction lab
Build and evaluate a semantic retriever, then compare a PostgreSQL extension with a dedicated vector service.