Performing Similarity Search
Listed inPerforming Similarity SearchVector Databaseson
Cosine vs dot product vs L2, top-k, and metadata pre-filtering.
Intermediate6 minDraft
#search
Where embeddings live, how they're indexed, and how similarity search behaves at scale.
13 articles
Listed inPerforming Similarity SearchVector Databaseson
Cosine vs dot product vs L2, top-k, and metadata pre-filtering.
Listed inSupabase VectorVector Databaseson
pgvector on Postgres — vectors sitting next to your relational data.
Listed inIndexing EmbeddingsVector Databaseson
Qdrant's explainer on HNSW, payload indexes, and the quantization trade-offs behind recall and memory.
Listed inPurpose and FunctionalityVector Databaseson
Indexing, filtering, and ANN search — what these stores do that a table cannot.
Listed inLanceDBVector Databaseson
Columnar, on-disk vector storage that scales past memory.
Listed inWeaviateVector Databaseson
Open-source vector search with hybrid BM25 and vector queries.
Listed inChromaVector Databaseson
An embedded-first store that runs in-process for prototypes.
Listed inMongoDB Atlas Vector SearchVector Databaseson
Vector indexes inside documents you already store.
Listed inIndexing EmbeddingsVector Databaseson
HNSW, IVF, and the recall/latency/memory triangle you're choosing a point on.
Listed inQdrantVector Databaseson
Rust-based vector search with rich payload filtering and quantization.
Listed inVector DatabasesVector Databaseson
Purpose-built stores for nearest-neighbour search over millions of vectors.
Listed inFAISSVector Databaseson
Meta's ANN library — a fast index, not a database.
Listed inPineconeVector Databaseson
Fully managed, serverless vector search with namespaces and metadata filters.