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Data Framework for Large Language Models
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This project is a data framework designed specifically for Large Language Model (LLM) applications, helping developers easily integrate private data with LLMs. It offers data connectors that support the creation of indexes from various data sources such as APIs, PDFs, documents, and SQL databases, simplifying the data import and query operations to the point where beginners can enhance the context of LLMs with just a few lines of code.
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Vol.101
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RAG
Python

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