Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
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Updated
Jun 12, 2024 - HTML
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
The ultimate open-source RAG framework
Use LLMs for building real-world apps
LangChain LLM chat with streaming response over websockets
An example of how to set your 🦜🔗 LangChain application up to enable deployment on Kinsta App Hosting services.
Chatbot application built using Next.js, React, and OpenAI. This project allows users to communicate with an AI-based chatbot that provides relevant answers to users' queries. The application uses natural language processing (NLP) technology to understand users' queries and provide accurate responses.
Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.
Interact with various LLMs in your browser (LangChain.js, Angular)
Powered by Python, GPT, and LangChain, it delves into GitHub profiles 🧐, rates repos using diverse metrics 📊, and unveils code intricacies. Perfect for developers, recruiters, and managers to explore the nuances of their codebase! 💻🌟
This is a Generative AI bot fine tuned to become a Professional resume writer. It used Meta's LlaMA 2 LLM with langchain. System Prompt has been changed in order to change profile of AI.
FlutterGPT - AI chatbot powered by OpenAI API, Qdrant, LangChain and AWS Lambda
A simple chat widget to inject in your websites using a script tag
Implementing Retrieval-Augmented Generation (RAG) with constructed Knowledge Graph
Materials for the talk "Building a Q&A engine with LangChain and open-source LLMs"
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