RAG System Development with Pydantic AI ChromaDB & Groq

May 2026
Vol-12, Issue-3
Paper ID: 28398
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
-
Abstract
This project presents a Retrieval-Augmented Generation (RAG) based AI chatbot designed to provide intelligent and context-aware responses by combining retrieval and generation techniques. The system leverages Pedantic AI for structured data modelling and workflow orchestration, ChromaDB for vector-based document storage and retrieval, and Grog’ s Llama 3.3-70B model as the core language model for natural language understanding and generation. By integrating these technologies, the chatbot can access a large knowledge base, retrieve relevant information, and generate accurate and human-like answers. This approach enhances response reliability and enables efficient deployment for educational, enterprise, and research applications.

Author Information

# Name Institute / Affiliation
1 Prof. Priyanka P. Kakade Brahma Valley College of Engineering and Research Institute, Nashik, Maharashtra, India.
2 KhemeshwarI Shelwante Brahma Valley College of Engineering and Research Institute, Nashik, Maharashtra, India.
3 Krushna Bhagwat Dhakne Brahma Valley College of Engineering and Research Institute, Nashik, Maharashtra, India.
4 Shreya Subhas Darade Brahma Valley College of Engineering and Research Institute, Nashik, Maharashtra, India.

How to Cite

Use the following formats to cite this article in your research.

APA Style
Kakade, Prof. Priyanka P., Shelwante, KhemeshwarI, Dhakne, Krushna Bhagwat, & Darade, Shreya Subhas (2026). RAG System Development with Pydantic AI ChromaDB & Groq. International Journal of Advance Research and Innovative Ideas In Education, 12(3), 121-127.
MLA Style
Kakade, Prof. Priyanka P., et al. "RAG System Development with Pydantic AI ChromaDB & Groq." International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, 2026, pp. 121-127.
IEEE Style
Prof. Priyanka P. Kakade, KhemeshwarI Shelwante, Krushna Bhagwat Dhakne, and Shreya Subhas Darade, "RAG System Development with Pydantic AI ChromaDB & Groq," International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, pp. 121-127, 2026.
Vancouver Style
Kakade Prof. Priyanka P., Shelwante KhemeshwarI, Dhakne Krushna Bhagwat, Darade Shreya Subhas. RAG System Development with Pydantic AI ChromaDB & Groq. International Journal of Advance Research and Innovative Ideas In Education. 2026;12(3):121-127.
Harvard Style
Kakade, Prof. Priyanka P., Shelwante, KhemeshwarI, Dhakne, Krushna Bhagwat, & Darade, Shreya Subhas (2026) 'RAG System Development with Pydantic AI ChromaDB & Groq', International Journal of Advance Research and Innovative Ideas In Education, 12(3), pp. 121-127.
Chicago Style
Kakade, Prof. Priyanka P., et al. "RAG System Development with Pydantic AI ChromaDB & Groq." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 121-127.
Turabian Style
Kakade, Prof. Priyanka P., et al. "RAG System Development with Pydantic AI ChromaDB & Groq." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 121-127.

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