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* document embedding writer & query * Added test query for doc embeddings * Bump version * Added doc rag prompt * Document RAG service
22 lines
504 B
Python
Executable file
22 lines
504 B
Python
Executable file
#!/usr/bin/env python3
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import pulsar
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from trustgraph.clients.document_embeddings_client import DocumentEmbeddingsClient
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from trustgraph.clients.embeddings_client import EmbeddingsClient
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ec = EmbeddingsClient(pulsar_host="pulsar://localhost:6650")
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vectors = ec.request("What caused the space shuttle to explode?")
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print(vectors)
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llm = DocumentEmbeddingsClient(pulsar_host="pulsar://localhost:6650")
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limit=10
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resp = llm.request(vectors, limit)
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print("Response...")
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for val in resp:
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print(val)
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