Personalized learning companion (Updated version of LearnMate).
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Updated
Jul 1, 2024 - Jupyter Notebook
Personalized learning companion (Updated version of LearnMate).
OdinAI; a chat interface that utilizes a custom vector database for storing and retrieving conversation history to enhance the contextual relevance of responses. The project integrates local language model management via Ollama and leverages Jupyter Notebook for its interactive interface.
Pipeline to insert text embeddings generated from self hosted embedding model into qdrant vector database using grpc in rust
GenView serves as a Generative AI Interview system designed to assist companies in choosing suitable candidates for their job vacancies.
RAG based LLM using Langchain
PDF Multichat Interaction System utilizing Llama 2, Langchain, and Pinecone. Streamline content extraction from resumes, health reports, and business documents, enhancing document interaction for various applications. Experience efficient and versatile document processing with this advanced system.
This is the repo for Vicuna Chemical Expert, which can help to solve some chemical questions.
A Minimal and Efficient Distributed Vector Database
An AI companion that the user can create by giving it a set of intstructions on how to behave, and talk to!
Playground for testing some Vector enabled Databases
Question Answering with LangChain and OpenAI on customize documents.
Web application that allows you to interact with biomedical knowledge graphs and query biomedical questions.
Everything you need to run RAG locally without OpenAI or any other paid services. Completely opensource techstack.
using pinecone database and store vector data
A Quick Note taking application, which runs locally within the browser.
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