Graph querying

Graph databases give us a powerful way to represent and query real-world relationships. There are a number of chains that make it easy to use LLMs to interact with various graph DBs.

📄️ Diffbot Graph Transformer

Open In Colab

📄️ ArangoDB QA chain

Open In Colab

📄️ Neo4j DB QA chain

This notebook shows how to use LLMs to provide a natural language

📄️ FalkorDBQAChain

This notebook shows how to use LLMs to provide a natural language

📄️ HugeGraph QA Chain

This notebook shows how to use LLMs to provide a natural language

📄️ KuzuQAChain

This notebook shows how to use LLMs to provide a natural language

📄️ Memgraph QA chain

This notebook shows how to use LLMs to provide a natural language

📄️ NebulaGraphQAChain

This notebook shows how to use LLMs to provide a natural language

📄️ NetworkX

NetworkX is a Python package for the

📄️ GraphSparqlQAChain

Graph databases are an excellent choice for applications based on

📄️ Neptune Open Cypher QA Chain

This QA chain queries Neptune graph database using openCypher and