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e8ec09c8b9
Thanks to Eric Hare @erichare at DataStax we have a new destination connector. This Pull Request implements an integration with [Astra DB](https://datastax.com) which allows for the Astra DB Vector Database to be compatible with Unstructured's set of integrations. To create your Astra account and authenticate with your `ASTRA_DB_APPLICATION_TOKEN`, and `ASTRA_DB_API_ENDPOINT`, follow these steps: 1. Create an account at https://astra.datastax.com 2. Login and create a new database 3. From the database page, in the right hand panel, you will find your API Endpoint 4. Beneath that, you can create a Token to be used Some notes about Astra DB: - Astra DB is a Vector Database which allows for high-performance database transactions, and enables modern GenAI apps [See here](https://docs.datastax.com/en/astra/astra-db-vector/get-started/concepts.html) - It supports similarity search via a number of methods [See here](https://docs.datastax.com/en/astra/astra-db-vector/get-started/concepts.html#metrics) - It also supports non-vector tables / collections
57 lines
1.6 KiB
Python
57 lines
1.6 KiB
Python
import os
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from unstructured.ingest.connector.astra import (
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AstraAccessConfig,
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AstraWriteConfig,
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SimpleAstraConfig,
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)
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from unstructured.ingest.connector.local import SimpleLocalConfig
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from unstructured.ingest.interfaces import (
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ChunkingConfig,
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EmbeddingConfig,
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PartitionConfig,
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ProcessorConfig,
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ReadConfig,
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)
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from unstructured.ingest.runner import LocalRunner
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from unstructured.ingest.runner.writers.astra import (
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AstraWriter,
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)
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from unstructured.ingest.runner.writers.base_writer import Writer
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def get_writer() -> Writer:
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return AstraWriter(
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connector_config=SimpleAstraConfig(
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access_config=AstraAccessConfig(
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token=os.getenv("ASTRA_DB_TOKEN"), api_endpoint=os.getenv("ASTRA_DB_ENDPOINT")
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),
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collection_name="test_collection",
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embedding_dimension=384,
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),
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write_config=AstraWriteConfig(batch_size=80),
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)
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if __name__ == "__main__":
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writer = get_writer()
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runner = LocalRunner(
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processor_config=ProcessorConfig(
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verbose=True,
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output_dir="local-output-to-astra",
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num_processes=2,
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),
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connector_config=SimpleLocalConfig(
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input_path="example-docs/book-war-and-peace-1p.txt",
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),
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read_config=ReadConfig(),
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partition_config=PartitionConfig(),
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chunking_config=ChunkingConfig(chunk_elements=True),
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embedding_config=EmbeddingConfig(
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provider="langchain-huggingface",
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),
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writer=writer,
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writer_kwargs={},
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)
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runner.run()
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