Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
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Updated
May 9, 2024 - Go
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Website for the Weaviate vector database
Java version of LangChain
A python native client for easy interaction with a Weaviate instance.
An LLM microservice for the learning platform Artemis
Represent, send, store and search multimodal data
Official Weaviate TypeScript Client
This repository contains the code and other resources used in OpenAI GPT for Python Developers (2nd Edition)
In this notebook combines LangChain and weaviate Database to ask questions related to your document. Powered by OpenAI's GPT-3.
Using Langchain's ideas to build SpringBoot AI applications | 用langchain的思想,构建SpringBoot AI应用
Text based Image Search app utilizing Weaviate Vector DB and CLIP/ViT models
A Microsoft .NET native client for Weaviate
A Question Generation Application leveraging RAG and Weaviate vector store to be able to retrieve relative contexts and generate a more useful answer-aware questions
Vector database (Weaviate) to build an image search engine powered by a deep neural network
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