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Transforming Your PDFs for RAG with Open Source Using Docling, Milvus, and Feast
The Open Source Feature Store for AI/ML. Contribute to feast-dev/feast development by creating an account on GitHub.
Online retrieval of features: Ensure real-time access to precomputed document embeddings and other structured data. data/: Contains the demo data, including Wikipedia summaries of cities with sentence embeddings stored in a Parquet file. feature_store.yaml: Configures the offline and online stores (using local files and Milvus Lite in this demo).
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