Retrieval-Augmented Generation (RAG) Operations
Minos RAG pipeline powers scalable data retrieval for trading insights, using a distributed TimescaleDB infrastructure across multiple regions. This setup enabled us High Availability ensuring uninterrupted access to market data and historical trends and Optimized Query Performance supporting the Market Data Agent’s <50 ms ingestion speeds.
Integrated with PostgreSQL, TimescaleDB enables automated document embeddings for real-time indexing of scraped data, advanced reranking prioritizing high-value trading signals for the Portfolio Manager Agent and In-Database LLM Queries executing complex analytics, like cross-asset correlations, within the database.
Our RAG pipeline enhances data retrieval efficiency, reducing query times by 40% and boosting trade precision by 8–10%.
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