FutureSmart Agent
A complete AI Agent system for real use cases. RAG, NL2SQL, API actions, multi-agent logic — everything in one place.
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OmniQuery Agent
OmniQuery Agent
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December 2, 2025 at 03:00 PM
Project Demo
Submission Details
hear-about-us
Linkedin
name
Satyam Kumar
College / University Name
Other
linkedIn-profile
- https://www.linkedin.com/in/satyamkr07/
Project Title
OmniQuery Agent
Describe what your project does?
OmniQuery Agent is an intelligent multi-tool AI agent built using LangChain and LangGraph that can understand a user’s query and decide whether to fetch real-time weather data or perform RAG-based PDF question-answering. It demonstrates agentic decision-making, tool calling, vector search, and LLM-powered reasoning in a clean, production-ready pipeline. This project matters because it showcases how practical AI agents can combine external APIs, document intelligence, and contextual retrieval to solve real-world information needs through a single unified interface.
Share a 3–5 minute HD demo video
- https://www.loom.com/share/f411bf72a73d4edebf3f15f2ecd0371a
Hosted Project Link (if any)
- https://huggingface.co/spaces/Satyam0077/ai-pipeline-assignment
GitHub Repository (if any)
- https://github.com/Satyam0775/AI-Agent-Pipeline
artifacts/ supporting material
Is this project your original and proprietary work?
Yes
Does your project include any private, sensitive, or restricted code or content?
No
Do you give us (AI Demos & partners) permission to feature your work on our website and share it with our community (with full credit)?
Yes
Do you consent to us showcasing your name/profile on our social media platforms and YouTube
Yes
Are you open to freelance, internship, or collaborative opportunities based on this project?
Yes, I’m interested