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28 lines
899 B
Python
28 lines
899 B
Python
import io
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from databridge import DataBridge
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import os
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from dotenv import load_dotenv
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from PIL import Image
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load_dotenv()
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## Connect to the DataBridge instance
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db = DataBridge(os.getenv("DATABRIDGE_URI"), timeout=10000, is_local=True)
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## Ingestion Pathway
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db.ingest_file("examples/assets/colpali_example.pdf", use_colpali=True)
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## Retrieving sources
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chunks = db.retrieve_chunks("At what frequency do we achieve the highest Image Rejection Ratio?", use_colpali=True, k=3)
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for chunk in chunks:
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if isinstance(chunk.content, Image.Image):
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# image chunks will automatically be parsed as PIL.Image.Image objects
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chunk.content.show()
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else:
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print(chunk.content)
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# You can also directly query a VLM as defined in `databridge.toml`
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response = db.query("At what frequency do we achieve the highest Image Rejection Ratio?", use_colpali=True, k=3)
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print(response.completion)
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