mirror of
https://github.com/trustgraph-ai/trustgraph.git
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a3ea1301d6
- Break out store queries, so not locked into a Milvus/Cassandra backend - Break out prompting into a separate module, so that prompts can be tailored to other LLMs - Jsonnet used to generate docker compose templates - Version to 0.6.0
21 lines
505 B
Python
Executable file
21 lines
505 B
Python
Executable file
#!/usr/bin/env python3
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from trustgraph.graph_rag import GraphRag
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import sys
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query = " ".join(sys.argv[1:])
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gr = GraphRag(
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verbose=True,
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pulsar_host="pulsar://localhost:6650",
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pr_request_queue="non-persistent://tg/request/prompt",
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pr_response_queue="non-persistent://tg/response/prompt-response",
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)
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if query == "":
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query="""This knowledge graph describes the Space Shuttle disaster.
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Present 20 facts which are present in the knowledge graph."""
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resp = gr.query(query)
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print(resp)
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