Semantic Search

7 items tagged with "semantic-search"

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Models1

Marengo Embed 3.0

Marengo Embed 3.0 is TwelveLabs' multimodal embedding model for semantic search over video, image, and audio content. It became generally available in Amazon Bedrock Knowledge Bases during the discovery window.

Tutorials2

Tutorial

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...