similarity search

6 hours ago · software

Vector Search Metrics: Why Your 'Distance' Might Be Wrong

I initially thought integrating vector databases would be as simple as learning any other Python library, assuming I could skip complex configurations until lat...

#vector-databases #Milvus #metric-types #similarity-search #embeddings #distance-metrics #Python
1 week ago · ai

Optimizing Vector Search: Why You Should Flatten Structured Data

An analysis of how flattening structured data can boost precision and recall by up to 20% The post Optimizing Vector Search: Why You Should Flatten Structured D...

#vector search #data flattening #structured data #precision #recall #embeddings #similarity search
0 month ago · ai

HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows

How approximate vector search silently degrades Recall—and what to do about It The post HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Gro...

#HNSW #vector search #approximate nearest neighbor #RAG #recall degradation #vector database scaling #similarity search
1 month ago · ai

When (Not) to Use Vector DB

When indexing hurts more than it helps: how we realized our RAG use case needed a key-value store, not a vector database The post When Not to Use Vector DB appe...

#vector database #RAG #key-value store #embeddings #similarity search #LLM