Overview#
cognee is an AI-memory framework: you add data, cognify
it into a knowledge graph plus embeddings, and then search that memory in many different
ways. cognee-agensgraph lets a single
AgensGraph database back both halves of
that memory — the knowledge graph and the vector store.
The package registers two adapters with cognee:
Graph adapter (
AgensgraphAdapter) — stores entities and relationships as an AgensGraph property graph, queried with Cypher. Each cognee class is a vertex label of its own, in lower case, under a common__node__label; each relationship is an edge label.Vector adapter (
AgensgraphVectorAdapter) — stores embeddings using the pgvector HNSW index in the same database.
Importing cognee_agensgraph registers both; you then select them with
graph_database_provider="agensgraph" and vector_db_provider="agensgraph".
What you get
One AgensGraph database for the graph and the embeddings — no second datastore.
cognee’s search modes over the same memory — from graph-grounded answers and chain-of-thought reasoning to plain vector RAG, raw Cypher, and natural-language → Cypher.
End-to-end
add→cognify→searchwith the AgensGraph vector adapter.Async throughout, on the agensgraph-python driver. Both adapters share one connection pool when they use the same connection string (credentials in the URL; a separate username or password gives the graph adapter its own).
query()(behindSearchType.CYPHERandNATURAL_LANGUAGE) is read-only by default. As a superuser it can still run a program on the database host; see Usage.Direct graph access via
get_graph_engine()(fromcognee.infrastructure.databases.graph) and HTML visualization viacognee.visualize_graph().
Note
Version 0.3.1. cognee-agensgraph is published to PyPI (see Installation).
0.3.1 is a documentation release; its code is 0.3.0’s. 0.3.0 moved both
adapters onto the agensgraph-python driver, stores each DataPoint class on its own
label, returns all ten graph metrics, sends embeddings in binary, adds bulk_ingest()
for first loads, and makes query() read-only by default. It requires cognee 0.2
(>=0.2.1,<0.3), AgensGraph 2.17 or later, and Python 3.11 to 3.13. A graph written by
0.2.0 is not readable by 0.3.x; drop it in SQL, reset cognee’s metadata, and add and
cognify your data again (see Installation).