I just wanna build my own LLM with RAG
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Updated
Jun 15, 2024 - Jupyter Notebook
I just wanna build my own LLM with RAG
Plugin that creates a ChromaDB vector database to work with LM Studio running in server mode!
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
⚡️Lightning fast in-memory VectorDB written in rust🦀
FastAPI Backend for a Conversational Agent using Aleph Alpha, (Azure) OpenAI, GPT4ALL, Langchain and a VectorDB
A Minimal and Efficient Distributed Vector Database
Two approaches to generating optimized embeddings in the Retrieval-Augmented Generation (RAG) Pattern
Everything you need to run RAG locally without OpenAI or any other paid services. Completely opensource techstack.
RAG based LLM using Langchain
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.
This Repository collects my material about my course (Mastering Vector Databases for AI applicstions) by Eng/ Mohammed Agoor
Web application that allows you to interact with biomedical knowledge graphs and query biomedical questions.
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Example application querying data in different ways
GenView serves as a Generative AI Interview system designed to assist companies in choosing suitable candidates for their job vacancies.
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.
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