The following sections cover more on these concepts. Traditional RAG or vector RAG runs a vector search to find the top N most relevant matches to a user's input. Those matches are passed to an LLM ...
If False, returns the embedding as a list. (Default: False) Returns: list or numpy.ndarray: A 768-dimensional vector representation of the input text. The format (list or NumPy array) depends on the ...
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