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Multi-Agent AI System

Solynth - AI Economic Intelligence Platform

Solo-built economic intelligence platform for theme discovery/monitoring, combining a user-facing RAG chatbot (SSE streaming + session persistence) with an admin automation stack for ingestion, scheduling, and analysis/report workflows.

Solynth - AI Economic Intelligence Platform

Tech Stack

TypeScriptNode.jsReactPostgreSQLPrismaVector SearchSSEnode-cron

Year

2024 - Present

Executive Summary

The Challenge

Coordinating ingestion, analysis, and long-running generation workflows while keeping the system observable and resilient to intermittent provider/API failures.

The Solution

Implemented a server-side RAG pipeline (retrieval→context building→multi-provider response) with DB-backed sessions/messages and SSE streaming. Built node-cron schedulers and automation services for economic/news pipelines and theme analysis workflows in the admin stack.

Technical Documentation

Methodology & Implementation

Overview

  • Solo-built economic intelligence platform combining a user-facing RAG chatbot service with an admin automation stack.

Purpose & User Flow

Purpose

  • Help users quickly understand “what themes matter now” and ask evidence-based questions over ingested sources (news/indicators).

User Flow (Chat)

  • Ask a question → retrieve relevant context (vector search) → generate an answer → stream status/output via SSE.
  • Conversations are stored per session to support continuity and revisiting.

Key Components

RAG Chatbot Service

  • Vector retrieval → context assembly → multi-provider response generation, with session/message persistence (Prisma)
  • SSE streaming endpoint for token-level output and status events

Ingestion & Scheduling

  • node-cron based unified economic scheduler (event-aware triggering + DB cleanup)

Admin Automation

  • Theme analysis/stock discovery scheduler integrating multi-source collectors and orchestration