Ajeet Kumar

Ajeet Kumar

Applied Mathematician with Specialization in Full Stack Machine Learning and Data Science

NextQuestAI: Deep Research Multi-Agent System

Published:

🚀 NextQuestAI Overview

NextQuestAI is a high-performance, multi-agent research orchestrator powered by LangGraph and NVIDIA NIM. It transforms simple queries into comprehensive, verified research reports by coordinating specialized agents for planning, searching, scraping, and fact-verification.

🌟 Key Features

  • 🚦 Intelligent Routing: Automatically determines if a query needs live web research or can be answered directly.
  • 📊 Semantic Fact Ranking: Filters through massive amounts of scraped data to extract only the highest-quality, most relevant facts.
  • 🛡️ Agentic Self-Correction (Fact Verification): A dedicated Verifier agent cross-checks every claim against source data to eliminate hallucinations.
  • 🔋 Multi-Provider Support: Optimized for NVIDIA NIM (low-latency enterprise AI inference), with fallbacks for HuggingFace, OpenRouter, and Gemini.
  • 💾 Persistent Research History: Powered by a local SQLite database, allowing you to resume research sessions at any time.

🏗️ Architecture & The Research Pipeline

The system utilizes a swarm of 8+ specialized AI agents working in harmony:

  1. Router: Determines the path (Direct Answer vs. Deep Research).
  2. Planner: Decomposes the query into a structured research plan.
  3. Search & Scrape: Executes parallel web searches (via Tavily) and content extraction.
  4. Analyzer & Ranker: Filters facts by relevance using semantic similarity.
  5. Synthesizer: Assembles the final report with full source attribution and citations.
  6. Verifier: Fact-checks and validates the synthesized claims.

🛠️ Tech Stack

| Component | Technology | Purpose | | :— | :— | :— | | Orchestration | LangGraph 0.2+ | State-machine based multi-agent flow | | Inference | NVIDIA NIM | High-performance LLM execution | | UI Framework | Streamlit 1.32+ | Interactive research dashboard | | Web Search | Tavily API | AI-optimized search results | | Database | SQLite | Persistent research history | | Deployment | HF Spaces | Cloud-native hosting |

🚀 Setup & Deployment

NextQuestAI supports Bring Your Own Key (BYOK) and is optimized for deployment on Hugging Face Spaces using the Streamlit or Docker SDK.

Local Installation

1. Clone the repository:

git clone https://github.com/ajeetkbhardwaj/NextQuestAI.git
cd NextQuestAI

2. Install dependencies and configure environment:

pip install -r requirements.txt
cp .env.example .env
# Edit .env and add your NVIDIA_API_KEY

3. Run the Application:

streamlit run app.py

👥 Team Roster for ajeetkbhardwaj/NextQuestAI

  • 👑 Team Leader:
    • ajeetkbhardwaj (Active Commits)
  • 👨‍💻 Team Members:
    • Open-Source Contributors (Active Commits)

📅 Weekly Plan & Updates

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👑 Team Leader Update (Ajeet Kumar)

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  • Working on: [What are you currently working on?]
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👨‍💻 Team Member Updates

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