Memory for AI Agents in 5 lines of code
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Updated
Jun 18, 2025 - Python
Memory for AI Agents in 5 lines of code
Neo4j Bolt driver for Python
Neo4j Movies Example application with Flask backend using the neo4j-python-driver
Build fast and accurate GenAI apps with GraphRAG SDK at scale.
Micro Graph Database for Python Applications
Infrahub offers a central hub to manage the data, templates and playbooks that powers your infrastructure by combining the version control and branch management capabilities of Git with the flexible data model and UI of a graph database.
[ACL 2024] Official resources of "ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models".
Analyze Data with Pandas-based Networks. Documentation:
TopicDB is a topic maps-based semantic graph store (using SQLite for persistence)
GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.
Arches is a web platform for creating, managing, & visualizing geospatial data. Arches was inspired by the needs of the Cultural Heritage community, particularly the widespread need of organizations to build & manage cultural heritage inventories
Python Driver for ArangoDB with built-in validation
A Python client for the Neo4j Graph Data Science (GDS) library
Python toolkit for building graph-enhanced GenAI applications
Python package for an open-source graph database Cayley
Toolkit for graph-relational data across space and time
Your favorite Python graph libraries, scalable and interoperable. Graph databases in memory, and familiar graph APIs for cloud databases.
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