Visual ETLpgvectorData Ops

AgentBrain

AI-Powered Data Management & Visual ETL

Built with AgentKit

AgentKit Engineer
AgentBrain connects diverse relational and document databases, generates automated vector embeddings, and builds semantic search pipelines. We relied heavily on AgentKit database engineering and API development skills to establish high-throughput streaming pipelines.

Technology Stack

PythonFastAPIPostgreSQLpgvectorClickHouseTypeScript

Product Screenshots

AgentBrain Enterprise AI Hub & Knowledge Vault

AgentBrain Enterprise AI Hub & Knowledge Vault

AgentBrain Automated Vector ETL & Database Connectors

AgentBrain Automated Vector ETL & Database Connectors

AgentBrain Full Architecture Preview
AgentBrain production-grade architecture built with AgentKit

Automated Vector ETL

Stream table mutations into semantic embedding indexes with zero manual pipeline maintenance.

Visual Pipeline Builder

Drag-and-drop transformation graph with real-time payload preview and schema validation.

Hybrid Search Engine

Combine dense vector embeddings with BM25 full-text ranking for state-of-the-art search precision.

“
“The test-first and clean-cutover principles from AgentKit made building complex data sync engines completely dependable.”
Alex Rivera (Data Platform Lead)Source: https://agentbrain.sh/blog/building-with-agentkit

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Independently operated by the maker; built with help from AgentKit; listing does not imply endorsement or guarantee.