This repository implements a multi-agent AI system for generating comprehensive company research reports. The backend is a FastAPI application that orchestrates a LangGraph-based pipeline of specialized research agents: a grounding node that optionally crawls the company's website, parallel research nodes (company, industry, financial, news) that use Tavily search and LLM-generated queries to gather data, a curator that filters documents by relevance score, an enricher that fetches raw content, a briefing node that generates category-specific summaries using Gemini, and an editor that compiles the final report using GPT-4o. The frontend is a React application with TypeScript and Tailwind CSS that communicates via SSE streaming. The system is primarily a web application with a modular agent pipeline, not a data analysis project.
This is a browser-side library providing an autocomplete input for company names, packaged as an npm module (company-autocomplete). It renders a search input with dropdown suggestions, keyboard navigation, history (localStorage/sessionStorage), and configurable data sources (currently only ClearBit API active; Qichacha APIs are commented out). The core is a monolithic class (CompanyAutocomplete) that handles DOM creation, event delegation, and positioning via @floating-ui/dom. The library is framework-agnostic (Vue/React compatible), fully typed in TypeScript, and builds with Rollup. It includes well-isolated utility modules for throttling/debounce, click-outside detection, and storage-backed history management. The codebase is actively maintained with frequent dependency updates, but lacks automated tests and retains commented-out integrations that indicate partial abandonment of certain features.