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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Kushagra Taneja
[Kushagra Taneja](/profile/kushagra Taneja)
UniTech Knowledge Assistant
Individual
April 29, 2025 at 05:30 AM
Large Language Models (LLMs) – These power the natural language understanding and response generation. In the Retrieval-Augmented Generation (RAG) flow, the LLM is used to generate human-like answers based on relevant document chunks.
Snowflake Cortex Search – This enables vector-based document retrieval, helping identify the most relevant pieces of text to feed into the LLM
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createdAt
04-06-2025 14:47
name
Kushagra Taneja
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Project Title
UniTech Knowledge Assistant
Describe what your project does?
UniTech Knowledge Assistant is an AI-powered document query app built using Streamlit, Snowflake, and Python. It helps university students retrieve accurate, contextual answers from academic documents. The system uses Retrieval-Augmented Generation (RAG) with Snowflake Cortex Search and integrates LLMs like LLaMA and Mistral to generate smart responses based on relevant document content.
What AI tools did you use?
Large Language Models (LLMs) – These power the natural language understanding and response generation. In the Retrieval-Augmented Generation (RAG) flow, the LLM is used to generate human-like answers based on relevant document chunks.
Snowflake Cortex Search – This enables vector-based document retrieval, helping identify the most relevant pieces of text to feed into the LLM
Share a 3–5 minute demo video (Google Drive link only) explaining your core idea, tools used, challenges faced, and how you improved your solution — make sure the link is viewable.
Is this project your original and proprietary work?
Yes
Does it include any private, sensitive, or restricted code or content?
No
Do you give us (AI Demos) 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
Connect with Kushagra Taneja to learn more about their project.