Signal

an intelligent research assistant

langchainai transformationdata workflow
Signal

The Challenge

The core task was to synthesize insights from a chaotic mix of sources: fast-moving news feeds, in-depth research reports, and some internal knowledge. Each source has unique characteristics, and a system that treats them all the same is bound to fail.

Our Solution

We designed a solution based on an enhanced LLM and RAG architecture. We knew from the start that a simple retrieval system would be insufficient. The majority of the engineering effort was therefore focused on developing a series of custom enhancements, with advanced filtering logic and tag-based similarity.

Results

  • Intelligent synthesis of insights from diverse information sources
  • Advanced filtering and relevance ranking for accurate results
  • Scalable architecture handling high-volume data streams
  • Significantly reduced research time for analysts