Stop rebuilding the same pipeline
Use Cortrix to evaluate ingestion, semantic search, reranking, and agent-facing query paths in one open-source storage layer without treating it as a full replacement for every existing system.
Keep your database and agent framework. Use Cortrix to evaluate the paths that usually become glue code: ingestion scripts, memory stores, retrieval feedback, audit context, and workflow state.
Use Cortrix to evaluate ingestion, semantic search, reranking, and agent-facing query paths in one open-source storage layer without treating it as a full replacement for every existing system.
Agent workflows need more than one-off retrieval calls. Cortrix gives builders a path to persist, search, inspect, and invalidate interaction memory.
For debugging and review, Cortrix focuses on source-level provenance: which documents, chunks, and turns contributed to an answer.
The first public routes are organized around the practical questions builders ask before adopting a new agent data layer.
Run Cortrix locally, query the demo namespace, then connect through the HTTP API, Python SDK, MCP server, or framework toolkit.
Use /migration/ to evaluate where Cortrix can reduce glue code without forcing a replacement of your operational database or agent framework.
Use /benchmark/ for retrieval-quality results, runner methodology, artifact format, and claim boundaries.