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Embedding

A numeric vector representation of text (or images) that captures semantic meaning, enabling similarity search.

Because similar meanings map to nearby vectors, "dog" and "puppy" sit close together. Embeddings power semantic search, recommendations, clustering, and the retrieval step in RAG.

Related resources

Qdrant Vector Database
Qdrant is a high-performance open-source vector database and similarity search engine designed for production use. Written in Rust, it powers RAG pipelines, recommendation systems, and semantic search with rich payload filtering, multi-tenancy support, and both self-hosted and managed cloud deployment options.
Cohere API
Cohere provides an enterprise-grade API for text generation, semantic search, embedding, and reranking, optimized for building high-quality search and RAG pipelines. Its models excel at understanding business context, and the platform offers straightforward integration with popular vector databases and orchestration frameworks.
Chroma
Chroma is a developer-friendly open-source embedding database that gets RAG prototypes running in minutes with a simple Python or JavaScript API. It runs in-process for local development and scales through its hosted cloud offering, making it the easiest entry point into vector search for most developers.