mirror of
https://github.com/trustgraph-ai/trustgraph.git
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669aed0f8a
* document embedding writer & query * Added test query for doc embeddings * Bump version * Added doc rag prompt * Document RAG service
25 lines
581 B
Python
Executable file
25 lines
581 B
Python
Executable file
#!/usr/bin/env python3
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import pulsar
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from trustgraph.clients.prompt_client import PromptClient
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p = PromptClient(pulsar_host="pulsar://localhost:6650")
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docs = [
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"In our house there is a big cat and a small cat.",
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"The small cat is black.",
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"The big cat is called Fred.",
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"The orange stripey cat is big.",
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"The black cat pounces on the big cat.",
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"The black cat is called Hope."
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]
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query="What is the name of the cat who pounces on Fred? Provide a full explanation."
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resp = p.request_document_prompt(
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query=query,
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documents=docs,
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)
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print(resp)
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