Java version of LangChain
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Updated
Jun 12, 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.
Represent, send, store and search multimodal data
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Website for the Weaviate vector database
Data integration platform for LLMs. Connect to SaaS tools with turnkey auth and sync documents from N data sources with only one integration
Weaviate vector database – examples
A python native client for easy interaction with a Weaviate instance.
Official Weaviate TypeScript Client
Ruby wrapper for the Weaviate vector search database API
Knowledge work automation with AI agents
Awesome Weaviate
Designed for offline use, this RAG application template is based on Andrej Baranovskij's tutorials. It offers a starting point for building your own local RAG pipeline, independent of online APIs and cloud-based LLM services like OpenAI.
🎩 Magic in Pocket / 🪄 口袋里的“魔法”.
This is a LlamaIndex project bootstrapped with create-llama to act as a full stack UI to accompany Retrieval-Augmented Generation (RAG) Bootstrap Application.
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