Search Results
6 results for “embedding”
Chroma
An open-source vector database designed for embedding-based applications, optimised for developer ergonomics and increasingly for large-scale serverless retrieval through a 2025 Rust-core rewrite.
Embedding
An embedding is a dense numerical vector representation of data — such as text, images, or audio — that encodes semantic meaning in a continuous high-dimensional space, enabling machine learning models to measure similarity and relationships.
Pinecone
Pinecone is a managed, cloud-native vector database designed for storing high-dimensional embeddings and serving low-latency similarity search for retrieval-augmented AI applications.
Qdrant
An open-source, Rust-based vector database and similarity search engine designed for high-performance storage and retrieval of high-dimensional embeddings, with support for hybrid search and multitenant deployments.
Semantic Search
Semantic search is a search paradigm that retrieves results based on the meaning and intent of a query rather than exact keyword matches, using vector embeddings to measure conceptual similarity between text.
Vector Database
A specialised database system that stores data as high-dimensional numerical vectors and enables fast approximate nearest-neighbour search, forming the retrieval backbone of semantic search and RAG systems.