




Orchid - Research Intelligence Platform
ORCHIDE is an agentic, multilingual research intelligence platform for market discovery, financial analysis, and voice-native investigation.

Codex Community Hackathon - Pune
Links
Team
3 members- PR
prathamesh kolhe
Agentic Ai Researcher - SAOwner
Sarthak Patil
- UT
Utkarsh Vidwat
Data Engineer
Overview
The Core Vision ORCHIDE AI is an institutional-grade, agentic research platform designed to transform raw market data into structured, actionable intelligence. Built to solve the modern crisis of information overload, it provides founders, analysts, and investors with a calm, source-grounded workspace for deep financial discovery. By delegating the heavy lifting of data retrieval, orchestration, and synthesis to an autonomous system, users can focus entirely on high-level judgment and decision-making. The platform operates as a seamless conversational interface, delivering highly accurate, institutional-quality insights without the cognitive clutter of traditional dashboards.
Dual-LLM Orchestration At the heart of the system is a novel Dual-LLM architecture that strictly separates cognitive labor to maximize efficiency, reduce costs, and prevent errors. The "Planner" (powered by Gemini 1.5 Flash) operates entirely in the background, handling complex query decomposition, strategic tool selection, and logical reasoning. Meanwhile, the "Executor" (powered by Sarvam AI) is strictly responsible for high-fidelity user communication, neural voice synthesis, and language translation. This hard architectural boundary ensures that the reasoning engine never interacts directly with the user, and the conversational model never hallucinates unverified research.
Real-Time RAG & Explainable Intelligence To guarantee absolute accuracy, Orchid utilizes a strict, real-time Retrieval-Augmented Generation (RAG) pipeline that explicitly bans unpredictable web scraping. All market intelligence is dynamically pulled from approved, structured APIs—such as GNews, Yahoo Finance, and Moneycontrol—before any LLM processing occurs. Furthermore, every insight delivered by the system is fully explainable, providing the user with explicit source citations, agent reasoning traces, and tool usage logs. To maintain a beautifully minimalist user interface, deep signal metrics and execution logs are routed directly to the developer console.
Multilingual & Voice-Native Discovery Orchid democratizes complex financial intelligence by breaking down language barriers with native support for English, Hindi, Marathi, Tamil, Telugu, Bengali, and Gujarati. Beyond standard text chat, the platform features a dedicated, decoupled voice application powered by the sophisticated Sarvam 'Shubh' neural model. This standalone voice route offers a highly immersive, low-latency research experience, complete with a responsive 3D interactive orb and live-streaming transcripts. This capability allows users to conduct complex, multi-step market investigations conversationally, naturally, and entirely hands-free.
Technical Scalability & Impact Ultimately, ORCHIDE AI redefines how professionals interact with global market data by merging agentic intelligence with an exceptionally crafted, multimodal design. The system is engineered for rapid deployment and enterprise scalability, utilizing a highly performant stack of React, Vite, FastAPI, and robust Redis caching to ensure minimal latency. By prioritizing structured APIs, cost-effective LLM routing, and an uncompromised user experience, Orchid stands out as a production-ready blueprint for the next generation of reliable AI search.
