rohanmistry231/LLM-API-and-RAG-Intergration-with-Python
A Python-based project demonstrating integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) for enhanced AI-driven applications. Includes code examples and tutorials for leveraging APIs and RAG techniques to build intelligent systems.
This project helps AI Engineers and Machine Learning Engineers integrate large language models (LLMs) and build Retrieval-Augmented Generation (RAG) applications. It provides practical Python code examples and a step-by-step guide, allowing users to build systems that take in natural language queries and provide enhanced, context-aware responses by leveraging external knowledge bases. This is ideal for those looking to build sophisticated AI-driven solutions.
No commits in the last 6 months.
Use this if you are an AI/ML engineer or researcher looking for a guided, hands-on approach to learn and implement LLM API integrations and RAG systems using Python.
Not ideal if you are looking for a plug-and-play solution without needing to understand or modify the underlying code and AI concepts.
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Python
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MIT
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Last pushed
May 22, 2025
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