--- title: Sycamore --- ## Sycamore [Sycamore](https://sycamore.readthedocs.io/en/stable/) is an LLM-powered data preparation, processing, and analytics system for complex, unstructured documents like PDFs, HTML, presentations, and more. With Aryn, you can prepare data for GenAI and RAG applications, power high-quality document processing workflows, and run analytics on large document collections with natural language. You can use the Qdrant connector to write into and read documents from Qdrant collections. ## Writing to Qdrant To write a Docset to a Qdrant collection in Sycamore, use the `docset.write.qdrant(....)` function. The Qdrant writer accepts the following arguments: - `client_params`: Parameters that are passed to the Qdrant client constructor. See more information in the [Client API Reference](https://python-client.qdrant.tech/qdrant_client.qdrant_client). - `collection_params`: Parameters that are passed into the `qdrant_client.QdrantClient.create_collection` method. See more information in the [Client API Reference](https://python-client.qdrant.tech/_modules/qdrant_client/qdrant_client#QdrantClient.create_collection). - `vector_name`: The name of the vector in the Qdrant collection. Defaults to `None`. - `execute`: Execute the pipeline and write to Qdrant on adding this operator. If `False`, will return a `DocSet` with this write in the plan. Defaults to `True`. - `kwargs`: Keyword arguments to pass to the underlying execution engine. ```python ds.write.qdrant( { "url": "http://localhost:6333", "timeout": 50, }, { "collection_name": "{collection_name}", "vectors_config": { "size": 384, "distance": "Cosine", }, }, ) ``` ## Reading from Qdrant To read a Docset from a Qdrant collection in Sycamore, use the `docset.read.qdrant(....)` function. The Qdrant reader accepts the following arguments: - `client_params`: Parameters that are passed to the Qdrant client constructor. See more information in the[Client API Reference](https://python-client.qdrant.tech/qdrant_client.qdrant_client). - `query_params`: Parameters that are passed into the `qdrant_client.QdrantClient.query_points` method. See more information in the [Client API Reference](https://python-client.qdrant.tech/_modules/qdrant_client/qdrant_client#QdrantClient.query_points). - `kwargs`: Keyword arguments to pass to the underlying execution engine. ```python docs = ctx.read.qdrant( { "url": "https://xyz-example.eu-central.aws.cloud.qdrant.io:6333", "api_key": "", }, {"collection_name": "{collection_name}", "limit": 100, "using": "{optional_vector_name}"}, ).take_all() ``` ## 📚 Further Reading - [Sycamore Reference](https://sycamore.readthedocs.io/en/stable/) - [Sycamore](https://github.com/aryn-ai/sycamore/tree/main/examples)