AI/ML Solution With CelerData

CelerData Cloud is a high-performance analytical engine featuring native vector search and an integrated MCP server. Power RAG, semantic search, ML model serving, and real-time analytics, all within a single, unified system.

instantly

RAG

Hybrid vector + SQL retrieval for high-quality, real-time context.
engineer

Data Engineering Agents

Let agents explore schemas, generate SQL, and automate analysis via MCP.
administration

Retrieval

Power semantic search, similar-item retrieval, and real-time ranking on one fast engine.
fast

Serve Features & Embeddings

Serve features, embeddings, and inference signals from one high-performance engine.

CelerData Cloud BYOC

A fully managed StarRocks service that runs inside your VPC — complete data control with automated scaling, upgrades, security policies, and multi-cloud flexibility.

Context For Your LLM

CelerData stores documents, metadata, and embeddings in the same engine, so you can keep retrieval and analytics together.
Real-time ingest keeps the knowledge base fresh for low-latency RAG responses.

Data Engineering Agents

With the StarRocks MCP server, data engineering agents can inspect schemas, generate SQL, and run transformations directly against CelerData Cloud.

Large Scale Retrieval

CelerData brings vector similarity search and real-time SQL analytics together in one cluster to enable hybrid retrieval and ranking. You can perform ANN-based candidate retrieval, join multiple tables for filtering and feature computation, and serve recommender workloads with sub-second query latency.

Serve Features & Embeddings

With CelerData, features and embeddings are defined once in the lakehouse and served consistently for both offline training and online inference. Models can query fresh, keyed features through millisecond-level point queries from the same analytical engine.