Vector Database

Vector Search

Vector search is a retrieval method that finds items by comparing the numerical similarity of their vector embeddings rather than matching exact keywords.

Pinecone

Pinecone is a fully managed, cloud-based vector database designed for storing and querying high-dimensional embeddings at scale. It provides fast approximate n…

Qdrant

Qdrant is an open-source vector database, written in Rust, built for storing and searching high-dimensional embeddings with a focus on performance, filtering,…

Milvus

Milvus is an open-source vector database designed for storing and searching large-scale embedding vectors, built to support similarity search and retrieval wor…

LlamaIndex

LlamaIndex is an open-source data framework that helps developers connect large language models to external data sources, primarily by building indexes for ret…

Semantic Kernel

Semantic Kernel is an open-source SDK from Microsoft for integrating large language models into applications, providing abstractions for plugins, memory, and p…

Haystack

Haystack is an open-source Python framework by deepset for building production-grade search and question-answering systems, including retrieval-augmented gener…

Chroma

Chroma is an open-source embedding database designed for storing and querying vector embeddings, commonly used to power retrieval-augmented generation and sema…

LlamaCloud

LlamaCloud is a managed cloud platform from the LlamaIndex team for parsing, indexing, and retrieving enterprise documents, designed to simplify building produ…

Flowise

Flowise is an open-source, low-code tool with a drag-and-drop visual interface for building LLM-powered applications and workflows, such as chatbots and retrie…

Embedding Model

An embedding model converts text, images, or other data into dense numerical vectors that capture semantic meaning, so that items with similar meaning end up c…

Reranker Model

A reranker model takes a shortlist of candidate results — usually produced by a fast initial retrieval step such as embedding-based vector search — and re-scor…

Embedding

An embedding is a numeric vector representation of data — such as text, images, or audio — designed so that items with similar meaning or content are positione…

Upstash

Upstash is a serverless data platform offering pay-per-request Redis-compatible caching and messaging, along with serverless Kafka and other data services, des…

Vector Database

A vector database is a database purpose-built to store, index, and search high-dimensional vector embeddings, retrieving items by semantic similarity rather th…

Command R

Command R is a family of large language models from Cohere optimized for enterprise use cases such as retrieval-augmented generation, tool use, and multilingua…

Vector Embedding Model

A vector embedding model is a neural network trained to map discrete inputs — words, sentences, images, or other objects — into dense numerical vectors such th…