ragleap-graph
Knowledge-graph-augmented retrieval for RAG systems — entity extraction, co-occurrence graphs, and graph-based document retrieval via Neo4j.
pip install ragleap-graph
Quickstart
from ragleap_graph import GraphConfig, GraphIndex
graph = GraphIndex(config=GraphConfig(
uri="bolt://localhost:7687",
user="neo4j",
password="...",
))
graph.upsert_document(
document_id="doc-1",
title="Q3 Report",
chunks=[{"text": "Acme Corp reported strong Q3 revenue growth."}],
)
docs = graph.find_documents_by_entities(["Acme Corp"])
related = graph.search_related_entities(["Acme Corp"], max_depth=2)
Status
Early alpha (v0.1.0). Ported from a real production GraphService, adapted for standalone open-source use — see HANDOFF.md for the full design history.
License
MIT
1 maintainer
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