Java version of LangChain
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Updated
May 30, 2024 - Java
Java version of LangChain
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
A python native client for easy interaction with a Weaviate instance.
🎩 Magic in Pocket / 🪄 口袋里的“魔法”.
Represent, send, store and search multimodal data
Weaviate vector database – examples
An LLM microservice for the learning platform Artemis
Our project is a robust, flexible catalog search engine for e-commerce, efficiently processing and retrieving information from client-provided CSV files with detailed product data.
Official Weaviate TypeScript Client
Giga Parsers 🦾😎
Kubernetes-native package for Weaviate, an AI-native vector database that helps developers create intuitive and reliable AI-powered applications.
In this notebook combines LangChain and weaviate Database to ask questions related to your document. Powered by OpenAI's GPT-3.
Data Science and Machine Learning projects
This is a Christian Apologetic chatbot prototype.
Add a description, image, and links to the weaviate topic page so that developers can more easily learn about it.
To associate your repository with the weaviate topic, visit your repo's landing page and select "manage topics."