VeloDB Cloud

• Real time AI knowledge store
• Vector similarity search with HNSW
• Full text search using BM25
• Hybrid search combining vectors and keyword retrieval
• Real time streaming data ingestion
• Change Data Capture for continuously updated knowledge
• Unified storage for structured data, JSON, text, and vectors
• Progressive filtering for large scale vector workloads
• MCP Server, REST API, CLI, and SQL connectivity
• Real time context delivery for RAG applications and AI agents

VeloDB Cloud is a fully managed real time data platform designed to bring analytics, search, and AI retrieval together in one database. Its real time knowledge store is particularly useful for organizations building retrieval augmented generation applications, AI agents, recommendation systems, and other applications that need accurate and continuously updated context.

The platform can store structured tables, semi structured JSON, full text, and vector embeddings together. This unified approach reduces the need to maintain separate analytics databases, search engines, vector databases, and data pipelines. Developers can retrieve information using standard SQL while combining traditional filtering with keyword and vector search.

VeloDB focuses heavily on keeping AI knowledge fresh. Streaming ingestion, Change Data Capture, and incremental index updates allow information to be synchronized as source documents, policies, customer records, and transactional data change. This is important for AI systems where outdated information can reduce the quality of generated answers.

Its hybrid search capabilities combine full text retrieval through BM25 with vector similarity search, allowing applications to consider both exact keywords and semantic meaning. Progressive filtering and vector indexing are designed to support large datasets containing billions of vectors.

VeloDB also provides multiple ways to connect AI applications, including MCP Server, REST APIs, CLI tools, and standard SQL. This makes it suitable for developers building RAG systems, AI agents, enterprise search, and data driven applications.

VeloDB Cloud is available as a managed SaaS service or through BYOC deployment, allowing organizations to keep data within their own cloud environment. Its pricing includes a free trial followed by usage based compute, storage, and cache charges.

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