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101 lines
2.8 KiB
Markdown
101 lines
2.8 KiB
Markdown
---
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title: Unstructured
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aliases: [ ../frameworks/unstructured/ ]
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---
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# Unstructured
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[Unstructured](https://unstructured.io/) is a library designed to help preprocess, structure unstructured text documents for downstream machine learning tasks.
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Qdrant can be used as an ingestion destination in Unstructured.
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## Setup
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Install Unstructured with the `qdrant` extra.
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```bash
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pip install "unstructured[qdrant]"
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```
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## Usage
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Depending on the use case you can prefer the command line or using it within your application.
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### CLI
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```bash
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EMBEDDING_PROVIDER=${EMBEDDING_PROVIDER:-"langchain-huggingface"}
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unstructured-ingest \
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local \
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--input-path example-docs/book-war-and-peace-1225p.txt \
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--output-dir local-output-to-qdrant \
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--strategy fast \
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--chunk-elements \
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--embedding-provider "$EMBEDDING_PROVIDER" \
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--num-processes 2 \
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--verbose \
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qdrant \
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--collection-name "test" \
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--url "http://localhost:6333" \
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--batch-size 80
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```
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For a full list of the options the CLI accepts, run `unstructured-ingest <upstream connector> qdrant --help`
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### Programmatic usage
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```python
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from unstructured.ingest.connector.local import SimpleLocalConfig
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from unstructured.ingest.connector.qdrant import (
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QdrantWriteConfig,
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SimpleQdrantConfig,
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)
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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.base_writer import Writer
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from unstructured.ingest.runner.writers.qdrant import QdrantWriter
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def get_writer() -> Writer:
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return QdrantWriter(
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connector_config=SimpleQdrantConfig(
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url="http://localhost:6333",
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collection_name="test",
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),
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write_config=QdrantWriteConfig(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-qdrant",
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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-1225p.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(provider="langchain-huggingface"),
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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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```
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## Next steps
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- Unstructured API [reference](https://unstructured-io.github.io/unstructured/api.html).
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- Qdrant ingestion destination [reference](https://unstructured-io.github.io/unstructured/ingest/destination_connectors/qdrant.html).
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- [Source Code](https://github.com/Unstructured-IO/unstructured/blob/main/unstructured/ingest/connector/qdrant.py)
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