{"library":"graph-retriever","type":"library","category":null,"description":"Graph Retriever is a Python library that combines unstructured similarity search with structured document traversal to enhance Retrieval-Augmented Generation (RAG) applications. It enables traversing relationships between documents to find more relevant context than simple similarity search alone. The current version is 0.8.0, with minor releases occurring frequently, often driven by integration updates with DataStax Astra DB and other components.","language":"python","status":"active","version":"0.8.0","tags":["graph","rag","retrieval","astra","datastax","llm","ai"],"last_verified":"Tue May 26","install":[{"cmd":"pip install graph-retriever","imports":["from graph_retriever.graph_retriever import GraphRetriever","from graph_retriever.document import Document","from graph_retriever.id import Id","from graph_retriever.retriever_strategies.graph_traversal import BFSTraversalStrategy","from graph_retriever.graph_store.astra_graph_store import AstraGraphStore"]}],"homepage":"https://datastax.github.io/graph-rag","github":"https://github.com/datastax/graph-rag","docs":null,"changelog":null,"pypi":"https://pypi.org/project/graph-retriever/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":80,"avg_install_s":4.7,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/graph-retriever/compatibility"}}