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- Description: added graph_memgraph_qa.ipynb which shows how to use LLMs to provide a natural language interface to a Memgraph database using [MemgraphGraph](https://github.com/langchain-ai/langchain/pull/8591) class. - Dependencies: given that the notebook utilizes the MemgraphGraph class, it relies on both this class and several Python packages that are installed in the notebook using pip (langchain, openai, neo4j, gqlalchemy). The notebook is dependent on having a functional Memgraph instance running, as it requires this instance to establish a connection. |
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| .. | ||
| graph_arangodb_qa.ipynb | ||
| graph_cypher_qa.ipynb | ||
| graph_hugegraph_qa.ipynb | ||
| graph_kuzu_qa.ipynb | ||
| graph_memgraph_qa.ipynb | ||
| graph_nebula_qa.ipynb | ||
| graph_qa.ipynb | ||
| graph_sparql_qa.ipynb | ||
| index.mdx | ||
| neptune_cypher_qa.ipynb | ||
| tot.ipynb | ||