AI Databases

A vector database that makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

Qdrant Cloud Inference lets you generate embeddings for text, image, and sparse data directly inside your managed Qdrant cluster. Better latency, lower egress costs, simpler architecture, and no external APIs required.

The AI-native app platform, combining the magic of vibe coding business apps with real production-readiness and scalability.

The AI-native database for a new generation of software. Store and retrieve data objects and vector embeddings. Seamlessly connect to your favorite ML models. And build intuitive, reliable AI applications that scale.

Chroma is the open-source AI application database.

Easily generate a professional portfolio website using AI. Just upload your resume, answer a few questions, and get a personalized website in minutes.

Ragie is a fully managed RAG-as-a-Service platform for developers. Ingest, index, and retrieve from sources like Google Drive, Notion, Confluence, Salesforce, and even audio and video. Build agentic retrieval workflows, or power context-aware tool selection with a hosted MCP Server. Ragie handles auth, permissions, and sync, with hybrid search, reranking, and real-time indexing. Enterprise-ready with GDPR, SOC 2, and HIPAA compliance. Get started for free with our Developer tier.

Alder uses LLM-powered Agents to automatically optimize complex data warehouse queries. It builds a virtual runtime, finds bottlenecks, rewrites queries, evaluates improvements, and delivers the best plan—cutting manual tuning costs to zero.

KnowVid AI isn’t just another text-to-video tool. Our proprietary AI Engine deeply understands and analyzes video content — converting passive videos into fully interactive learning dashboards for engaging, personalized education at scale.

Deep Lake AI Knowledge Agent conducts Deep Research on your data, no matter its modality, location, or size. Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) stored anywhere, to AI. Over time, it learns from your queries, tailoring the results to your work! Deep Lake is used by Fortune 500 companies like Bayer, Matterport, and others.