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1. RAG-based-Intelligent-Conversational-AI-Agent-for-Knowledge-Extraction-Using-LangChain-Gemini-LLM RAG-based-Intelligent-Conversational-AI-Agent-for-Knowledge-Extraction-Using-LangChain-Gemini-LLM Public

   In this we implements a Retrieval-Augmented Generation (RAG) based conversational AI agent designed for intelligent knowledge extraction from PDF documents. Leveraging LangChain and Google’s Gemini…

   Jupyter Notebook 5 1

2. A-Fine-Tuned-Model-for-Medical-Named-Entity-Recognition-using-Gemini-LLM A-Fine-Tuned-Model-for-Medical-Named-Entity-Recognition-using-Gemini-LLM Public

   In this we finetuned the Gemini model with our own medical NER dataset and used to recognize Name Entities

   Jupyter Notebook 4

3. LangGraph-MCP-Agent LangGraph-MCP-Agent Public

   In this we implement Model Context Protocol with langraph agentic features

   Python

4. Conversational-chatbot-via-different-models-using-GROQ-LLM Conversational-chatbot-via-different-models-using-GROQ-LLM Public

   In this we implement a chatbot with different GROQ supported models

   Jupyter Notebook

5. Supervised-Fine-Tuning-of-GPT-OSS-20B-on-OpenAI-s-gsm8k-reasoning-with-LoRA Supervised-Fine-Tuning-of-GPT-OSS-20B-on-OpenAI-s-gsm8k-reasoning-with-LoRA Public

   In this we finetune GPT-OSS-20B on OpenAI's gsm8k dataset

   Jupyter Notebook

6. LangGraph-Powered-RAG-System-for-Intelligent-Question-Answering LangGraph-Powered-RAG-System-for-Intelligent-Question-Answering Public

   In this we implement RAG using Langraph

   Jupyter Notebook