Claude

Almost every company I talk to, and basically every solution vendor, has been pushing for people to use AI to “talk-to-your-data,” an approach allows the AI to retrieve content from a company’s proprietary databases and then work with the documents and data it retrieves. The problem is that AIs hallucinate, or make up plausible information, all the... See more

• Multiple indices. Splitting the document corpus up into multiple indices and then routing queries based on some criteria. This means that the search is over a much smaller set of documents rather than the entire dataset. Again, it is not always useful, but it can be helpful for certain datasets. The same approach works with the LLMs themselves.


• Cu

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