AI Knowledge Base for Answers from Your Sources

Ask questions about the material you bring to iWeaver, connect relevant information, and develop answers you can check against the originals.

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What Is an AI Knowledge Base?

An AI knowledge base combines a collection of information with AI-assisted ways to question and understand it. Instead of only opening files and looking for a phrase, you can ask a question about the material and develop a response from the relevant content.

Use iWeaver to work with documents and other supported sources through AI dialogue, summaries, and structured outputs. Choose the material relevant to your question, ask for the detail you need, and check important points against the originals. The collection gives the conversation a concrete basis.

This page focuses on knowledge work: understanding reports, learning from references, and using research in your own projects. The useful result is an answer you can examine, along with a clear view of what the selected material does not establish.

Make Your Source Collection Easier to Question

Ask in the language of your task

You may remember the question more clearly than the file name. Ask which factors the selected report associates with a result, or how the material defines a concept. Add a document title, date, or section when you know it. A well-scoped question helps focus the response on the information you need.

Connect relevant material

A useful answer may require context from more than one source. Ask how the selected materials address the same issue, then examine differences in scope and terminology. Keep agreement, disagreement, and missing information separate. This gives you a clearer basis for your own synthesis than a single blended paragraph.

Move from an answer to a useful format

Once you understand the response, ask for a concise note, comparison, or outline suited to the next task. Specify the headings you need and keep important qualifications. iWeaver’s summary and mind-map workflows can also help you examine dense material from a different angle.

Notice what the collection cannot answer

An answer can be incomplete because the source set is incomplete. Ask which parts of the question are supported and which need more information. If a document only discusses one period or population, keep that boundary in the result. Add the missing source when you have it, then ask the question again.

How to Ask Questions with Your Knowledge Base

01

Choose the relevant source collection

Bring in the documents or other supported material that could answer your question. Prefer clear, current sources and identify older versions when they matter. Start with a small, relevant collection so you can inspect how the answer relates to the material.

02

Ask for the answer and its basis

State the question, scope, and format you need. Ask iWeaver to identify supporting passages or source details where available and to distinguish evidence from interpretation. If different sources use different definitions, ask for the distinction before combining their conclusions.

03

Check and use the result

Review key claims, dates, figures, and any source references against the originals. Ask a follow-up question when the answer is incomplete. Use the checked result in your notes or draft, and keep information gaps visible instead of treating fluent wording as proof.

Put Your AI Knowledge Base to Work

Find an Answer inside Your Reports

Find an Answer inside Your Reports

Ask a focused question about the reports relevant to a project. Request the definitions, dates, and supporting context you need to interpret the answer. Check the original table or passage before reusing a figure. A short, reviewed answer can become a useful note for the next discussion.

Question My Reports
Trace a Research Finding

Trace a Research Finding

Use a selected collection of papers to examine the support for a proposed conclusion. Ask what each paper contributes and where its limits differ. Follow the response back to the methods and findings before developing your synthesis. Keep conflicting results visible when the material does not justify a single conclusion.

Examine My Evidence
Understand a Topic from Your References

Understand a Topic from Your References

Bring the references for a learning topic and ask for an explanation grounded in those materials. Follow up on terms you cannot yet explain and ask how the sources connect them. Create a concise note after checking the explanation, then keep your own example separate from examples given in the references.

Explore My References
Check Facts in a Content Draft

Check Facts in a Content Draft

Compare a claim in your draft with the material you intend to use as support. Ask which parts are established, which are interpretation, and which require another source. Use the answer as a review aid, then check the original context and retain only the wording your evidence supports.

Review My Source Claims

A Better Question Produces a More Useful Answer

Give the question enough context to distinguish a source-based answer from a broad discussion. These are example prompts, not promises about a particular result.

Instead ofAskWhat to inspect
What do these reports say?Across these selected reports, which factors are linked to customer onboarding delays? Separate shared findings from source-specific observations.Whether the cited observations actually concern delays and comparable groups.
Which document is right?Compare how these two documents define the term and identify any differences in period, scope, or assumptions.Whether an apparent disagreement comes from different definitions or genuinely different evidence.
Give me the answer.Using this collection, explain the question in plain language. Identify source details where available and state what remains unsupported.Whether the explanation stays within the selected material and preserves important qualifications.

Example: Check a Claim before Using It

Illustrative workflow

Suppose a draft says that a new onboarding approach reduced the time it takes to complete setup. Your collection includes a project report and notes from a small interview study. Ask which source, if any, supports that exact claim.

The report may describe completion time while the interviews discuss perceived ease of use. Those are related observations, but they do not establish the same result. Ask for a response that separates measured findings from individual accounts, then check the relevant passages. Revise the draft so its wording matches the evidence you actually have.

This illustrative example shows why an AI-powered knowledge base is useful as part of a review process. The value is in locating and examining the support for a claim, while keeping your own editorial judgment in the final decision.

Try This Question

Does this selected collection support the claim that the new onboarding approach reduced setup completion time? Separate measurements from interview observations. Identify source details where available, and state any missing comparison, time period, or definition needed to judge the claim.

Keep the Answers Worth Using

Keep the source set clear

Use descriptive source names and distinguish versions or review dates in your own collection. When a question concerns current information, select the appropriate sources explicitly. An older document can still be useful background, but it should not silently stand in for a newer account.

Treat references as a route to review

Ask for source details where available and examine the underlying passage. A reference is helpful only if it supports the actual statement. When support is absent or unclear, narrow the claim, ask another question, or add the material needed to resolve the gap.

AI Knowledge Base Questions

Go Deeper into Your Sources

Move from a focused answer to a document overview, a research summary, or a broader source comparison.

Ask a Question Your Sources Can Answer

Bring a relevant collection into iWeaver and develop a clear answer you can examine and use.

Ask About My Sources