The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

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

FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as 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. ⚡️

⚡️Lightning fast in-memory VectorDB written in rust🦀

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.

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.

Avalok AI is easy to use platform to build search on documents including S3 bucket. We add ability to add RAG to get answers to your questions.

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。

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

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

A Quick Note taking application, which runs locally within the browser.

An AI companion that the user can create by giving it a set of intstructions on how to behave, and talk to!

Question Answering with LangChain and OpenAI on customize documents.

Playground for testing some Vector enabled Databases