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21 lines
638 B
Python
21 lines
638 B
Python
from dbgpt import EmbeddingEngine, KnowledgeType
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url = "https://docs.dbgpt.site/docs/overview"
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embedding_model = "your_embedding_model"
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vector_store_type = "Chroma"
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chroma_persist_path = "your_persist_path"
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vector_store_config = {
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"vector_store_name": url.replace(":", ""),
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"vector_store_type": vector_store_type,
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"chroma_persist_path": chroma_persist_path,
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}
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embedding_engine = EmbeddingEngine(
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knowledge_source=url,
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knowledge_type=KnowledgeType.URL.value,
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model_name=embedding_model,
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vector_store_config=vector_store_config,
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)
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# embedding url content to vector store
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embedding_engine.knowledge_embedding()
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