Laxmi Kant

Local LLM Applications with Langchain and Ollama

This repository contains implementations of Retrieval-Augmented Generation (RAG) in Jupyter notebooks. It includes examples of building chatbots with and without history, processing PDFs with RAG, and using DeepSeek models for local RAG and financial document analysis.

Resume and CV Summarization and Paring with Spacy in Python

Learn NLP Tutorials with HuggingFace Transformers

Find all major CSV Files for data processing

Gen AI, Langchain v1 AI Agents, MCP, MySQL AI Agent, DeepSeek, GPT-OSS Qwen3 LLAMA Agent, Lang Graph, Ollama, KGPTalkie

Multi-Agent Deep RAG

25000 structured images of Dog and Cat for ML

Building production-ready Retrieval-Augmented Generation (RAG) systems with LangGraph orchestration and local Ollama models for privacy-preserving AI applications.

Fine tune LLM with HuggingFace