Frequently Asked Questions
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PermaURL : How accurate is the AI's analysis?
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PermaURL : How can I get longer, more detailed answers from the AI?
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PermaURL : How do chat settings affect credit usage?
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PermaURL : What are some general tips for asking effective questions?
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When working with large datasets, it's important to tailor your questions for the best results:
- Concept-Oriented Queries: Focus on the concepts or themes of your inquiry rather than exact word matches. Our AI is adept at interpreting and responding to the essence of your question.
- Focused Queries: Given the context window limitations of our AI, it's crucial to ask clear, discriminative questions. This helps the AI in selecting the most relevant document segments for your query.
- Understand Processing Limitations: Our AI operates in two phases - identifying relevant segments and then generating responses. Be aware that not all data can be processed in a single query, especially in vast datasets. If you have a question that requires a full scan of a large dataset, please read the next FAQ entry: "Can I ask docAnalyzer.ai to parse, extract, or translate a very large dataset all at once?"
- Adjust Context Budget: A "large dataset" is any dataset larger than your current "Context Budget" setting. You can increase how much of your dataset is analyzed by selecting a model that supports larger context windows and increasing your Context Budget in the chat settings. This effectively extends what the AI can process before being considered a "large dataset."
PermaURL : How should I frame my questions when analyzing large datasets? -
PermaURL : Can I ask docAnalyzer.ai to parse, extract, or translate a very large dataset all at once?
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PermaURL : Can docAnalyzer effectively analyze structured content like tables or Excel files?
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PermaURL : If I delete a chat, do you keep a copy ?
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PermaURL : If I delete a document, do you keep a copy ?