📄DataSet
Integrating LLM with your own custom dataset is crucial for building applications. To achieve this goal, we allow you to seamlessly import data from any source.
Document loaders: Load documents from various different sources.
Document converters: Split documents, convert them into question-answer format, remove redundant documents, etc.
Text embedding models: Obtain unstructured text and convert it into a list of floating-point numbers.
Vector store: Store and search embedding data.
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