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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
22 lines
485 B
Python
Executable file
22 lines
485 B
Python
Executable file
#!/usr/bin/env python3
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import pulsar
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from trustgraph.graph_embeddings_client import GraphEmbeddingsClient
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from trustgraph.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 = GraphEmbeddingsClient(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.value)
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