{"library":"llama-index-vector-stores-weaviate","type":"library","category":null,"description":"LlamaIndex integration for Weaviate vector database. Supports hybrid search, vector indexing, filtering, and metadata storage. Version 1.6.0 requires Python >=3.10, <4.0. Active development.","language":"python","status":"active","version":"1.6.0","tags":["llama-index","vector-store","weaviate","rag","embeddings"],"last_verified":"Fri May 01","install":[{"cmd":"pip install llama-index-vector-stores-weaviate","imports":["from llama_index.vector_stores.weaviate import WeaviateVectorStore","from llama_index.vector_stores.weaviate import WeaviateProperty"]}],"homepage":"https://www.weaviate.io","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/llama-index-vector-stores-weaviate/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}