akashmathur-2212/LLMs-playground

What, Why and How of LLMs.

Jupyter Notebook

318 commits

updated Sep 22, 2025

See the code

README

Generative AI Applications using LLMs

1. Conversational AI (Chatbot🤖) with RAG using LangChain🦜️ & LlamaIndex🦙

Title	Medium Article	Repository
Comprehensive Guide to Customize your Llama2 ChatBot using LlamaIndex and Streamlit	🔗	🔗
Mistral-7B-Instruct Based Multi-PDFs ChatBot using LangChain and Streamlit		🔗
Llama2-7B Based CSV ChatBot using LangChain		🔗
Simple RAG using AWS Bedrock		🔗

2. Advanced RAG 📚📒

Title	Medium Article	Repository
Optimizing Retrieval with Additional Context & MetaData using LlamaIndex🦙	🔗	🔗
Enhancing Retrieval Efficiency through Evaluating Reranker Models using LlamaIndex🦙	🔗	🔗
Query Augmentation for Next-Level Search using LlamaIndex🦙	🔗	🔗
Smart Tracking and Debugging of Document Changes using LlamaIndex🦙	🔗	🔗

3. Multimodal LLM Applications 💡

Title	Medium Article	Repository
Elevating Mistral-7B’s Performance through Finetuning using QLoRA	🔗	🔗
T5 Fine Tuning & Evaluation for Text Summarization		🔗
Falcon-7B Based Video 🎬 Summarization using Langchain		🔗
🎵 Audio Generation 🎹 using Audio Craft		🔗

2. Serving & Deployment ☁️

Title	Medium Article	Repository
Serverless Magic with Lambda, SageMaker DLC, and API Gateway	🔗	🔗
Deploy a Serverless ML Inference using FastAPI, AWS Lambda, and API Gateway	🔗	🔗
Vector Indexing and ANN using FAISS with AWS Serverless Architecture	🔗	🔗

3. Experimenting with LangChain🦜️

Title	Medium Article	Repository
Quickstart with LangChain		🔗
Summarization Strategies		🔗

Explore, Appreciate, and Give the Repository a Shining ⭐

Feel free to explore the repository and show your appreciation by giving it a star⭐! Your support means a lot! 😉

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akashmathur-2212/LLMs-playground

What, Why and How of LLMs.

Jupyter Notebook

318 commits

updated Sep 22, 2025

See the code

README

Generative AI Applications using LLMs

1. Conversational AI (Chatbot🤖) with RAG using LangChain🦜️ & LlamaIndex🦙

Title	Medium Article	Repository
Comprehensive Guide to Customize your Llama2 ChatBot using LlamaIndex and Streamlit	🔗	🔗
Mistral-7B-Instruct Based Multi-PDFs ChatBot using LangChain and Streamlit		🔗
Llama2-7B Based CSV ChatBot using LangChain		🔗
Simple RAG using AWS Bedrock		🔗

2. Advanced RAG 📚📒

Title	Medium Article	Repository
Optimizing Retrieval with Additional Context & MetaData using LlamaIndex🦙	🔗	🔗
Enhancing Retrieval Efficiency through Evaluating Reranker Models using LlamaIndex🦙	🔗	🔗
Query Augmentation for Next-Level Search using LlamaIndex🦙	🔗	🔗
Smart Tracking and Debugging of Document Changes using LlamaIndex🦙	🔗	🔗

3. Multimodal LLM Applications 💡

Title	Medium Article	Repository
Elevating Mistral-7B’s Performance through Finetuning using QLoRA	🔗	🔗
T5 Fine Tuning & Evaluation for Text Summarization		🔗
Falcon-7B Based Video 🎬 Summarization using Langchain		🔗
🎵 Audio Generation 🎹 using Audio Craft		🔗

2. Serving & Deployment ☁️

Title	Medium Article	Repository
Serverless Magic with Lambda, SageMaker DLC, and API Gateway	🔗	🔗
Deploy a Serverless ML Inference using FastAPI, AWS Lambda, and API Gateway	🔗	🔗
Vector Indexing and ANN using FAISS with AWS Serverless Architecture	🔗	🔗

3. Experimenting with LangChain🦜️

Title	Medium Article	Repository
Quickstart with LangChain		🔗
Summarization Strategies		🔗

Explore, Appreciate, and Give the Repository a Shining ⭐

Feel free to explore the repository and show your appreciation by giving it a star⭐! Your support means a lot! 😉

Similar repos

Farzad-R/LLM-Zero-to-Hundred

This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known…

559

lizhe2004/Awesome-LLM-RAG-Application

the resources about the application based on LLM with RAG pattern

1,659

lancedb/vectordb-recipes

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

977

berkgungor/LLMs

Generative AI Applications

jxzhangjhu/Awesome-LLM-RAG

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language…

1,365

aipengineer/awesome-ai-engineering-reads

Essential reads for every AI engineer interested in building AI apps.

joypaul162/Shubhamsaboo-awesome-llm-apps

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