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import streamlit as st |
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def faq(): |
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st.markdown( |
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""" |
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# FAQ |
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## How does ReportIO work? |
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When you upload a document, it will be divided into smaller chunks |
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and stored in a special type of database called a vector index |
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that allows for semantic search and retrieval. |
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When you ask a question, ReportIO will search through the |
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document chunks and find the most relevant ones using the vector index. |
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Then, it will use GPT3 to generate a final answer. |
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## Is my data safe? |
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Yes, your data is safe. ReportIO does not store your documents or |
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questions. All uploaded data is deleted after you close the browser tab. |
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## Why does it take so long to index my document? |
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If you are using a free OpenAI API key, it will take a while to index |
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your document. This is because the free API key has strict [rate limits](https://platform.openai.com/docs/guides/rate-limits/overview). |
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To speed up the indexing process, you can use a paid API key. |
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## What do the numbers mean under each source? |
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For a PDF document, you will see a citation number like this: 3-12. |
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The first number is the page number and the second number is |
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the chunk number on that page. For DOCS and TXT documents, |
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the first number is set to 1 and the second number is the chunk number. |
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## Are the answers 100% accurate? |
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But for most use cases, ReportIO is very accurate and can answer |
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most questions. Always check with the sources to make sure that the answers |
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are correct. |
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""" |
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) |
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