The Excellence
Directory Platform Template

Qdrant Cloud Inference is a managed inference service integrated with the Qdrant vector database, allowing users to generate embeddings and work with vector search pipelines directly in the cloud environment.

HAKES is a system designed for efficient data search using embedding vectors at scale, making it a relevant solution for vector database applications.

A collection of examples and guides from OpenAI, including best practices for working with embeddings, which are fundamental to vector search and vector database applications.

Qwak provides a vector store solution engineered for optimized storage and querying of vector embeddings, offering efficient search capabilities, high performance, scalability, and data retrieval by identifying similarities among data points.

A course focused on mastering multimodal Retrieval Augmented Generation (RAG) and embeddings, which are fundamental components often stored and managed by vector databases.

A wrapper embedding function for Jina Embedding models, used to generate vector embeddings.

A massive text embedding benchmark for evaluating the quality of text embedding models, crucial for vector database applications.