https://github.com/arpitpatelsitapur/langchain-llm-apps
This repository explores the full potential of Langchain-based Large Language Models (LLMs). It covers deployment using Langserve and FastAPI, fine-tuning techniques, integration methods, and API usage with interactive documentation. Ideal for developers looking to implement scalable, efficient LLMs in real-world applications.
https://github.com/arpitpatelsitapur/langchain-llm-apps
chatbots fastapi langchain langserve langsmith llms ollama
Last synced: 3 months ago
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This repository explores the full potential of Langchain-based Large Language Models (LLMs). It covers deployment using Langserve and FastAPI, fine-tuning techniques, integration methods, and API usage with interactive documentation. Ideal for developers looking to implement scalable, efficient LLMs in real-world applications.
- Host: GitHub
- URL: https://github.com/arpitpatelsitapur/langchain-llm-apps
- Owner: arpitpatelsitapur
- Created: 2024-09-11T06:43:39.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-11T20:27:13.000Z (about 1 year ago)
- Last Synced: 2024-12-20T02:43:39.571Z (10 months ago)
- Topics: chatbots, fastapi, langchain, langserve, langsmith, llms, ollama
- Language: Python
- Homepage:
- Size: 2.21 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Langchain LLM Apps - Learning Journey
Welcome to my GitHub repository, where I document my learning journey with the [Langchain framework](https://langchain.com/) and Krish Naik Sir Course. This repo will contain my experiments, projects, and notes as I explore and understand how to build LLM-powered applications using Langchain.
## 🛠️ Project Overview
This repository will include:
- **Learning Resources:** Notes and references I find helpful while learning Langchain.
- **Sample Applications:** Code for various LLM apps built using Langchain.
- **Experimentation:** Different ways to use Langchain for integrating LLMs into various use cases, including chatbots, automation, and more.
## 🔍 What is Langchain?
Langchain is a framework designed to make it easier to build applications powered by large language models (LLMs). It helps in managing the complexities of LLMs, such as chaining calls to language models, managing interactions, and deploying them in various environments. Langchain Framework provides services like-
- `LangSmith` : monitoring of llm apps.
- `LangServe`
- `LangGraph`
- `Agents`
- `Retrival` etc.
## 📁 Repository Structure
- `apps/`: Applications built using Langchain, covering different use cases.
## 🚀 Projects and Applications
### 1. Conversational Q&A Chatbot Using Ollama (LLaMA3.1 8B Parameter Model)
- Implemented a simple LLaMA3.1 chatbot using the Langchain framework.
- Learned how to use models from Ollama and monitored it through Langsmith.
- [Project Code](ollama%20app1/1_ollama_langchain_app.py)
- Folder: `ollama app1/`
### 2. Student Support Q&A Chatbot (using context-based approach with LLaMA 3.1)
- Implemented a context-based LLaMA3.1 chatbot using the Langchain framework used context of some information for my university and college.
- Learned to use models by context based approach from Ollama and monitored it through Langsmith.
- [Project Code](ollama%20app1/2_ContextBased_ollama_app.py)
- Folder: `ollama app2/`
### 3. Simple Chatbot Deployed using FastAPI and LangServe
- Implemented the LLaMA3.1 chatbot and deployed it with `FastAPI` in Production-grade Langchain server `LangServe`.
- [Project Code](ollama%20app3/)
- [Visit here](ollama%20app3/langserve%20swagger%20ui.md) for more details of this langchain server.
*More projects to come as I progress.*
## 📚 Resources
Here are some resources I find helpful in learning Langchain:
- [Langchain Documentation](https://python.langchain.com/en/latest/)
- [Langchain GitHub Repo](https://github.com/hwchase17/langchain)
- [Langchain Tutorials](https://www.youtube.com/channel/UCd5BZT1dzaM_lpmxP0o3POg)
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Thanks for visiting! Stay tuned for updates as I dive deeper into Langchain and LLM-powered applications.