Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
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Updated
Oct 5, 2024 - HTML
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
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.
MiniPilot is a GenAI-assisted chatbot backed by Redis. Chat with your documents
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)
A simple chat widget to inject in your websites using a script tag
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
This is a RAG implementation using Open Source stack. BioMistral 7B has been used to build this app along with PubMedBert as an embedding model, Qdrant as a self hosted Vector DB, and Langchain & Llama CPP as an orchestration frameworks.
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