A: 1. I answered this question before, so I will just copy what i said back then:
A: It's always good to explore the options out there. While we’re aware of many players in the space (you can find a comparison section on our website), each tool brings its own strengths and limitations. I never heard about Socrates until today.
I just did try Socrates with a book for comparison. In my experience, it is a bit slower and lacks some of the capabilities we offer—such as API access, customizable AI agents, and a broader selection of models and settings. The user experience also feels quite different.
That said, the best way to decide is to try both and see which one fits your workflow better. We’re confident that docAnalyzer’s flexibility, speed, and feature set stand out, especially for professional or high-volume use.
Yes — but it’s important to understand how large language models (LLMs) work so you set realistic expectations.

2) A dataset of 5,800 pages is roughly 4 million tokens (though the exact number depends on text density, language, formatting, etc.).

Currently, even the best LLMs have a context window of around 1–2 million tokens, meaning you can’t simply feed the entire dataset into the model in a single prompt.

You also need to factor in:
✅ How long you want the answer/output to be (because that also consumes part of the context window)
✅ The fact that as you push toward the maximum context window, accuracy can drop and the risk of hallucinations increases

We cover all this in more detail here: FAQ – Working with Large Datasets: https://docanalyzer.ai/faq/chat/large-dataset#large-dataset

Why is DocAnalyzer a great fit for large datasets?
✅ You can fine-tune the context window budget
✅ You get access to a wide range of LLMs
✅ We provide high-quality embedding search, so you can work efficiently even with massive documents

3. We don't have yet this feature

4.Yes.