Comments (2)
You can add summarization: https://python.langchain.com/en/latest/use_cases/summarization.html
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As @alxspiker pointed, summarization is a different process. You don't need stored embeddings for that. You could just use the right type of chain supported by GPT4All LLM and pass in the docs loaded through any of the available document loaders in Langchain.
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