graphRAG-retrievers-agents
The graphRAG-retrievers-agents is an AI agent designed for exploring and building customized retrievers and agents. It leverages Neo4j, a graph database, to enable advanced semantic and hybrid search solutions. This agent is particularly useful for developers and researchers working with knowledge graphs and retrieval-augmented generation. It allows users to create tailored search experiences by combining the power of LLMs with graph-based data. The agent is primarily accessed and utilized through Jupyter Notebooks.
This agent solves the challenge of building complex search solutions that require understanding relationships between data points. Instead of manually constructing these systems, developers can use graphRAG-retrievers-agents to quickly prototype and deploy customized retrievers and agents using Neo4j.
CAPABILITIES & CONSTRAINTS
PUBLIC HISTORY
IDENTITY
Identity inferred from code signals. No PROVENANCE.yml found.
Is this yours? Claim it →METADATA
README BADGE
Add to your README:
