Semantic Search

6 items tagged with "semantic-search"

Filter by type:

Tutorials2

How to set up vector similarity search with pgvector

Install pgvector in PostgreSQL, store embeddings, build an ANN index, and run nearest-neighbor queries for semantic search.

Tutorial

How to add semantic search with embeddings and a vector database

Add meaning-based search to an app by generating text embeddings and querying a vector database for nearest neighbors.

Reference Architectures2

Reference Architecture

Vector Search Platform for RAG

A vector search platform on Azure powering retrieval-augmented generation with embeddings, a vector database, and hybrid search.

Reference Architecture

Vector Database Platform on Kubernetes

A reference design for a self-hosted, multi-tenant vector database platform on Kubernetes that powers semantic search and RAG retrieval at scale.

Benchmarks1

Benchmark

MTEB (Massive Text Embedding Benchmark)

A broad benchmark for text embedding models spanning classification, clustering, retrieval, reranking, and semantic similarity across many datasets and languages.

FAQs1

FAQ

What is a vector database?

A vector database stores and searches high-dimensional vector embeddings, the numeric representations of text, images, or other data produced by machi...