The Excellence
Directory Platform Template

Qdrant is an open‑source vector database designed for high‑performance similarity search and AI applications such as RAG, recommendation systems, advanced semantic search, anomaly detection, and AI agents. It provides scalable storage and retrieval of vector embeddings with features like filtering, hybrid search, and production‑grade APIs for integrating with machine learning workloads.

Instaclustr offers comprehensive managed services for vector databases, handling deployment, configuration, ongoing maintenance, tuning, optimization, scalability, security, and data protection. This allows organizations to offload the complexities of managing their vector database infrastructure and focus on their core business objectives.

A platform designed to simplify the building, management, and deployment of Large Language Model (LLM) applications, enabling rapid operationalization of context-aware LLMs and offering integration with its Vector Store.

Built into the Salesforce platform, Data Cloud Vector Database ingests various large datasets from customer interactions, classifies and organizes unstructured data, and merges it with structured data to enrich customer profiles and store as metadata in Data Cloud. It enhances generative AI by providing more relevant, accurate, and up-to-date responses through improved data retrieval and semantic search capabilities.

An on-demand serverless configuration for OpenSearch Service that simplifies the operational complexities of managing OpenSearch domains, integrated with Knowledge Bases for Amazon Bedrock to support generative AI applications.