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AnushandKacper Łukawski
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* docs: fondant ai * chore: move preview image * Update qdrant-landing/content/documentation/integrations/fondant.md Co-authored-by: Kacper Łukawski <kacperlukawski@users.noreply.github.com> * Fix typo --------- Co-authored-by: Kacper Łukawski <kacperlukawski@users.noreply.github.com>
74 lines
1.9 KiB
Markdown
74 lines
1.9 KiB
Markdown
---
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title: ML6 Fondant
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weight: 1700
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---
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# ML6 Fondant
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[Fondant](https://fondant.ai/en/stable/) is an open-source framework that aims to simplify and speed up large-scale data processing by making containerized components reusable across pipelines and execution environments.
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Fondant features a Qdrant component image to load textual data and embeddings into a the database.
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## Usage
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<aside role="status">
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A Qdrant collection has to be <a href="documentation/concepts/collections/">created in advance</a>
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</aside>
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**A data load pipeline for RAG using Qdrant**.
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```python
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from fondant.pipeline import ComponentOp, Pipeline
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pipeline = Pipeline(
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pipeline_name="ingestion-pipeline",
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pipeline_description="Pipeline to prepare and process \
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data for building a RAG solution",
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base_path="./data-dir",
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)
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# An example data source component
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load_from_source = ComponentOp(
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component_dir="path/to/data-source-component",
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arguments={
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"n_rows_to_load": 10,
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# Custom arguments for the component
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},
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)
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chunk_text_op = ComponentOp.from_registry(
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name="chunk_text",
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arguments={
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"chunk_size": 512,
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"chunk_overlap": 32,
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},
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)
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embed_text_op = ComponentOp.from_registry(
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name="embed_text",
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arguments={
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"model_provider": "huggingface",
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"model": "all-MiniLM-L6-v2",
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},
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)
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# Getting the Qdrant component from the Fondant registry
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index_qdrant_op = ComponentOp.from_registry(
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name="index_qdrant",
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arguments={
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"url": "http:localhost:6333",
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"collection_name": "some-collection-name",
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},
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)
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# Construct your pipeline
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pipeline.add_op(load_from_source)
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pipeline.add_op(chunk_text_op, dependencies=load_from_source)
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pipeline.add_op(embed_text_op, dependencies=chunk_text_op)
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pipeline.add_op(index_qdrant_op, dependencies=embed_text_op)
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```
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## Next steps
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Find the FondantAI docs [here](https://fondant.ai/en/stable/).
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