The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
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Updated
Feb 18, 2024 - TypeScript
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
Plugin that creates a ChromaDB vector database to work with LM Studio running in server mode!
FastAPI Backend for a Conversational Agent using Aleph Alpha, (Azure) OpenAI, GPT4ALL, Langchain and a VectorDB
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
⚡️ Transform AI/ML operations: Transparency, Control and Cost Optimization. ⚡️
Example application querying data in different ways
Elysium Knowledge Repository is an open source initiative to embed all of Humanity's multi-modal knowledge and wisdom.
Minio2Milvus-BackEnd创建了一个由streamlit写得简易UI,同步Milvus与MinIO,实现新建库、删除库、上传文档、向量化文档、删除文档等功能。
With ME_GPT, you can store your cherished memories in a local vector database and leverage them to give Chat GPT the extraordinary ability to clone your unique personality and knowledge.
Two approaches to generating optimized embeddings in the Retrieval-Augmented Generation (RAG) Pattern
This Repository collects my material about my course (Mastering Vector Databases for AI applicstions) by Eng/ Mohammed Agoor
The simple client of NautilusDB, a Clound-Native Vector Search Service
An AI companion that the user can create by giving it a set of intstructions on how to behave, and talk to!
VectorCV is a React app w/ a Flask Back-end that allows you (recruiters) to enter your candidates' CV's and find out who are the best candidates for the job. This is all done through embeddings, vector databases and queries by GPT-3.5
Question Answering with LangChain and OpenAI on customize documents.
Web application that allows you to interact with biomedical knowledge graphs and query biomedical questions.
GenView serves as a Generative AI Interview system designed to assist companies in choosing suitable candidates for their job vacancies.
using pinecone database and store vector data
Everything you need to run RAG locally without OpenAI or any other paid services. Completely opensource techstack.
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