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Free AI Q&A and knowledge assistant. Ask anything and get clear, cited answers with confidence scores — across 19 categories and 10 answer modes. Upload documents for grounded RAG answers, use voice input, ask follow-ups, switch between AI models, and work in 12 languages. Private, in-browser document Q&A with a graceful offline fallback. 100% free, no sign-up.
Explore questions across 19 topics, retrieve evidence from your PDFs and other documents, and follow up in a contextual conversation. Choose from 10 answer modes, inspect citations and confidence indicators, use supported voice controls, and export useful conversations. General-knowledge model answers depend on a configured provider.
Auto (recommended) · General Knowledge
Get clear, cited answers. Attach a document to ask questions about it, or pick a topic to get started.
Enter to send · Shift+Enter for a new line · answers can be imperfect — verify important facts.
Documents are parsed and searched in your browser. Questions you send to the AI are processed securely on our server and our AI provider.
Enter a focused question in natural language, choose a topic from the 19 available categories and select Quick, Expert, Academic or another appropriate answer mode. Specify whether you want steps, a table or a concise answer. Voice input is available on supported browsers.
Attach a supported PDF, document, spreadsheet-like CSV or text file to ask evidence-based questions. The local document workflow extracts text, indexes passages and retrieves relevant excerpts before answering. For questions beyond uploaded sources, a configured model provider is required.
Examine the answer, citations, groundedness and confidence indicators. Compare cited excerpts with the original source, ask follow-up questions while context is available, then copy or export the conversation in a supported format.
Continue the same line of inquiry across follow-up questions, clarifications and comparisons without repeating every detail. Keep the question scoped to the relevant source and confirm assumptions when the topic changes.
Upload PDF, DOCX, TXT, CSV, Markdown and other supported content. Browser-side passage indexing and BM25-style matching help surface excerpts that may answer the question.
Inspect source references and ranked passages for document-grounded answers. A citation indicates supporting context, not automatic proof of every conclusion or inferred claim.
AI Chat Q&A is a question-answering assistant that responds to natural-language questions and can work with the contents of uploaded documents. It is suited to learning a concept, investigating a research question, clarifying a business report or locating a passage in a large PDF. The value is not simply producing fluent text: the useful workflow is asking, checking evidence and refining the question.
Document-grounded questions: Attach a relevant file and ask a bounded question such as which risks the report explicitly lists. Open-domain questions: A general knowledge response requires a configured model provider rather than being guaranteed by the local document reader. Follow-up context: Ask for a shorter explanation, a comparison or a source passage in the same conversation. Verification first: Use the original publication, file or official guidance when a fact could affect an important decision.
Document-grounded questions: Attach a relevant file and ask a bounded question such as which risks the report explicitly lists.
Use the appropriate level of explanation.
| Mode | Best use | Verification advice |
|---|---|---|
| Quick | Fast orientation | Expand when nuance matters |
| Detailed | Background and context | Check exceptions |
| Expert | Technical depth | Validate assumptions |
| Step-by-Step | Worked processes | Recalculate steps |
| Beginner-Friendly | Learning | Verify examples |
| Academic | Scholarship | Check citations |
| Technical | Developer problems |
Ask for simple explanations of difficult topics, generate practice questions from uploaded notes and build a revision plan while checking each answer against a reliable textbook.
Upload readable papers, find evidence about methods or limitations, compare cited passages and create a reproducible research checklist.
Explain unfamiliar code, investigate a stack trace, explore algorithms and request test ideas without sharing confidential tokens or passwords.
Question operational reports or business proposals, trace supporting passages and turn findings into a decision brief that identifies assumptions.
Ask questions about campaign documents, summarize evidence for audience decisions and separate report findings from speculative recommendations.
Clarify published medical concepts or summarize an uploaded educational article while confirming clinical claims with qualified professionals.
Locate contractual clauses, stated deadlines and exceptions with citations, then have qualified reviewers confirm interpretation.
Ask follow-ups in a preferred supported language, request simple analogies and check whether specialist terms retain their original meanings.
Begin questions with the exact uploaded filename, chapter or section so the retrieved answer has a clear evidence boundary.
Split compound questions into smaller requests when different parts require different source passages or different calculations.
Request a short supporting excerpt and citation, then verify the original page instead of copying large copyrighted passages.
Ask what the document does not establish and which assumptions are necessary before a decision can be made.
Use Quick for initial orientation, then Research or Expert mode when methodological caveats and trade-offs are important.
Specify whether you want a checklist, table, structured JSON, timeline or step-by-step explanation.
Redo arithmetic from the source figures, checking rounding, currencies, dates, denominators and units.
Prefer readable text, distinct section headings and accurate tables; image-only PDFs may produce incomplete extraction.
Remove passwords, access tokens, personal identifiers and confidential fields before using a configured external model.
It is a free question-answering tool for conversational queries and questions about uploaded documents. It supports multiple topics and answer styles, evidence displays and conversation exports.
The product advertises free access to its core features without mandatory registration. Open-domain generative answers may depend on a separately configured model provider.
Yes. Upload a supported PDF, ask an explicit question and review retrieved passages. Selectable text works best; figures or scans may need extra checking.
The document workflow surfaces cited source passages and groundedness indicators, which help users inspect why an answer was given.
| Problem | Likely cause | What to do |
|---|---|---|
| No answer to a general-knowledge question | No model provider is configured or the provider is unavailable | Confirm whether a provider is configured. For document-only questions, attach a source and ask a question it can answer. |
| An attached PDF produces no useful passages | The pages contain scanned images or text extraction failed | Use a searchable PDF or OCR workflow, then verify recognized text and try a focused question. |
| Citations point to the wrong part of a report | Broad wording matched an irrelevant passage | Quote a section heading or distinctive term, then inspect surrounding paragraphs yourself. |
| Confidence looks high but the answer is wrong | Heuristic scoring does not guarantee correctness | Use the source as the authority and check calculations, qualifiers and interpretation. |
| The assistant invents a source or reference | Model response is not tied to a retrieved citation | Ask for exact file passages; if unavailable, mark the claim unsupported and omit the invented reference. |
Use confidence, groundedness, completeness and readability displays to identify answers worth checking closely. Scores are advisory assessments rather than independent third-party verification.
Explore education, science, mathematics, programming, business, research, healthcare information, career and more with topic-specific guidance and expectations.
Switch between Quick, Detailed, Expert, Step-by-Step, Beginner-Friendly, Academic, Technical, Professional, Research and Executive Summary formats according to your goal.
Ask and read answers in supported languages including English and Hindi. Accuracy and input-method support may vary with the document, language and configured model.
Dictate a question or listen to an answer when browser speech input and text-to-speech features are available; check recognized text before relying on the response.
Copy answers, save useful content locally and export an entire discussion to TXT, Markdown, PDF or JSON for revision, sharing or later review.
Documents are parsed and searched in your browser. Questions you send to the AI are processed securely on our server and our AI provider. Configured open-domain model requests transmit the prompt and supplied context to the model provider; review sensitive material first.
Open-domain questions: A general knowledge response requires a configured model provider rather than being guaranteed by the local document reader.
Follow-up context: Ask for a shorter explanation, a comparison or a source passage in the same conversation.
Verification first: Use the original publication, file or official guidance when a fact could affect an important decision.
The document workflow combines readable text extraction, passage chunking, local indexing and relevance ranking. A BM25-style retrieval index matches question terms against candidate passages, then the most relevant excerpts can be used in the answer. This is an accessible form of retrieval-augmented question answering, but lexical relevance is not the same thing as factual entailment.
Preparation: Use text-selectable PDFs or clean document exports wherever possible. Retrieval: Specific terms, section names and defined abbreviations improve passage matching. Grounding: Check whether the cited excerpt actually supports the answer, including qualifiers and exceptions. Limits: Scanned-only pages, tables, charts and ambiguous abbreviations can reduce retrieval quality.
Preparation: Use text-selectable PDFs or clean document exports wherever possible.
Retrieval: Specific terms, section names and defined abbreviations improve passage matching.
Grounding: Check whether the cited excerpt actually supports the answer, including qualifiers and exceptions.
Limits: Scanned-only pages, tables, charts and ambiguous abbreviations can reduce retrieval quality.
The interface advertises citations, source rankings, a confidence measure and indicators for groundedness, completeness and readability. They are helpful navigational signals, not independent fact checks. A high confidence score cannot prove a legal interpretation, verify live market data or establish that every statement follows logically from a cited excerpt.
Citations: Open the cited passage and inspect the surrounding paragraph rather than trusting an isolated sentence. Groundedness: Prefer claims directly backed by your source over generic model assertions. Completeness: Check whether the answer covers exclusions, time periods, assumptions and opposing evidence. Confidence: Treat the score as heuristic and seek authoritative corroboration where stakes are high.
Citations: Open the cited passage and inspect the surrounding paragraph rather than trusting an isolated sentence.
Groundedness: Prefer claims directly backed by your source over generic model assertions.
Completeness: Check whether the answer covers exclusions, time periods, assumptions and opposing evidence.
Confidence: Treat the score as heuristic and seek authoritative corroboration where stakes are high.
The topic chooser covers General Knowledge, Education, Science, Mathematics, Technology, Programming, Business, Marketing, Finance, Legal, Healthcare, History, Geography, Research, Writing, Productivity, Career, Interview Prep and Exam Prep. Modes adjust presentation: Quick prioritizes brevity; Step-by-Step shows a process; Academic or Research emphasizes structured reasoning and evidence; Executive Summary puts decisions first.
Quick and Detailed: Choose how much explanation you need before drilling into details. Expert and Technical: Use domain terminology but explicitly state the experience level. Beginner-Friendly and Step-by-Step: Request definitions, worked examples and intermediate checks. Academic and Research: Ask for source limitations, counterarguments and clearly labeled uncertainty.
Quick and Detailed: Choose how much explanation you need before drilling into details.
Expert and Technical: Use domain terminology but explicitly state the experience level.
Beginner-Friendly and Step-by-Step: Request definitions, worked examples and intermediate checks.
Academic and Research: Ask for source limitations, counterarguments and clearly labeled uncertainty.
Effective prompts supply the task, context, target audience and desired output structure. Replace vague prompts such as explain the report with an exact section, comparison or decision question. For numbers, ask the assistant to show input values and assumptions; for research, request citations and explicitly ask it to say when a source does not contain the answer.
Specify source: Ask 'According to the attached Q3 report' instead of implying external facts. Specify format: Request a five-row comparison table, a short checklist or a 100-word explanation. Specify scope: Include geography, date range, product version or unit of measurement. Ask for uncertainty: Request a separate section naming unknowns and unsupported claims.
Specify source: Ask 'According to the attached Q3 report' instead of implying external facts.
Specify format: Request a five-row comparison table, a short checklist or a 100-word explanation.
Specify scope: Include geography, date range, product version or unit of measurement.
Ask for uncertainty: Request a separate section naming unknowns and unsupported claims.
Students can ask for explanations of concepts, analogies, practice questions, equation walkthroughs and revision notes. Educators can use the tool to brainstorm lesson checks from supplied materials. The most reliable learning pattern is to compare the answer with textbook examples and do independent practice rather than submitting generated work as personally completed research.
Concept explanation: Request a beginner-level definition followed by a concrete example. Practice: Ask for progressively harder self-test questions with separate solutions. Revision: Turn uploaded notes into a list of key concepts requiring verification. Academic integrity: Cite original sources and follow classroom rules on generated assistance.
Concept explanation: Request a beginner-level definition followed by a concrete example.
Practice: Ask for progressively harder self-test questions with separate solutions.
Revision: Turn uploaded notes into a list of key concepts requiring verification.
Academic integrity: Cite original sources and follow classroom rules on generated assistance.
Researchers can retrieve claims from PDFs, compare methodologies and list limitations found across documents. The tool should be treated as an aid to evidence navigation, not a source of newly verified bibliographic facts. Page or passage references and document titles need inspection, especially when a summary blends several studies with different populations or dates.
Paper triage: Ask for stated research questions, methods, sample sizes and limitations. Cross-source comparison: Keep claims associated with their originating file and passage. Evidence map: Request a matrix of finding, source, method and uncertainty. Citation practice: Verify authors, dates, page numbers and quotations in the original document.
Paper triage: Ask for stated research questions, methods, sample sizes and limitations.
Cross-source comparison: Keep claims associated with their originating file and passage.
Evidence map: Request a matrix of finding, source, method and uncertainty.
Citation practice: Verify authors, dates, page numbers and quotations in the original document.
The Programming category can help interpret code, trace errors and discuss algorithms across commonly used languages such as Python, JavaScript, TypeScript, Java and SQL. Attach an error log or configuration snippet when useful, removing passwords and credentials first. Treat any proposed fix as untested until you run tests and review dependencies in your actual environment.
Debugging: Provide the exact error, relevant code and what you expected to happen. Explanations: Ask for the behavior, edge cases and complexity of a function. Architecture: Request trade-offs rather than a single unqualified design. Security: Do not paste credentials, tokens or other secrets into external model requests.
Debugging: Provide the exact error, relevant code and what you expected to happen.
Explanations: Ask for the behavior, edge cases and complexity of a function.
Architecture: Request trade-offs rather than a single unqualified design.
Security: Do not paste credentials, tokens or other secrets into external model requests.
Teams can explore proposals, meeting records and operational reports by asking which decisions, risks or actions are explicitly documented. Executive Summary mode can produce a digest for internal review while source passages let the team verify each point. The assistant does not replace financial analysis, legal review or a current competitive-intelligence source.
Meeting follow-ups: Extract owners and deadlines only if the uploaded record actually names them. Proposal analysis: Compare stated requirements and known exceptions across proposals. Marketing research: Separate the uploaded evidence from suggested campaign hypotheses. Management summaries: Present what the source says before adding assumptions or recommendations.
Meeting follow-ups: Extract owners and deadlines only if the uploaded record actually names them.
Proposal analysis: Compare stated requirements and known exceptions across proposals.
Marketing research: Separate the uploaded evidence from suggested campaign hypotheses.
Management summaries: Present what the source says before adding assumptions or recommendations.
Speech recognition and spoken playback can make question answering easier on mobile or for users who prefer listening. The page advertises 12 language options and automatic language detection. Browser speech support varies, and recognition may struggle with names, technical vocabulary, background noise or mixed-language content. Always confirm the transcribed question before acting on a reply.
Voice capture: Use a quiet room and check technical names after dictation. Spoken playback: Confirm device sound, browser permissions and a supported voice. Multilingual text: Ask for a target language explicitly and verify translated technical terms. Accessibility: Use concise headings, plain-language answers and keyboard-friendly workflows.
Voice capture: Use a quiet room and check technical names after dictation.
Spoken playback: Confirm device sound, browser permissions and a supported voice.
Multilingual text: Ask for a target language explicitly and verify translated technical terms.
Accessibility: Use concise headings, plain-language answers and keyboard-friendly workflows.
The product describes browser-side parsing, local retrieval and on-device conversation history. For general knowledge or a provider-generated response, a configured language-model service may receive the question and retrieved context. Users should not equate a local upload interface with a guarantee that all future prompts stay on-device. Review provider policies and remove confidential information before external inference.
Local processing: Document extraction, passage indexing and local answer workflows are described as browser based. Provider boundary: Open-domain prompts and contextual excerpts can be sent to a configured external model. Sensitive material: Redact personal identifiers, contracts, health records and trade secrets as appropriate. Retention: Local history may persist on the device; external provider retention depends on its policies.
Local processing: Document extraction, passage indexing and local answer workflows are described as browser based.
Provider boundary: Open-domain prompts and contextual excerpts can be sent to a configured external model.
Sensitive material: Redact personal identifiers, contracts, health records and trade secrets as appropriate.
Retention: Local history may persist on the device; external provider retention depends on its policies.
Exported conversations can preserve useful explanations, evidence notes and to-do items for later checking. TXT is lightweight, Markdown preserves readable headings, PDF is convenient for sharing and JSON can support structured workflows. An exported conversation is a snapshot of AI-generated text and does not automatically include all original documents or certify their accuracy.
TXT: Choose for simple plain-text notes. Markdown: Choose for research outlines, developer notes and reusable documentation. PDF: Choose for a portable reading copy, while checking citations and line breaks. JSON: Choose for structured archiving and automation where the receiving schema is compatible.
TXT: Choose for simple plain-text notes.
Markdown: Choose for research outlines, developer notes and reusable documentation.
PDF: Choose for a portable reading copy, while checking citations and line breaks.
JSON: Choose for structured archiving and automation where the receiving schema is compatible.
AI question answering can omit context, misread tables, make mathematical mistakes and produce plausible but unsupported statements. Document retrieval may surface a matching passage that does not fully answer the question. A response about current events may require current sources, and a professional decision should rely on qualified humans and primary evidence. The goal is efficient discovery with accountable verification.
High-stakes topics: Seek qualified medical, legal or financial professionals for decisions. Live information: Verify recent facts on official current sources. Document coverage: Confirm all relevant pages were imported and readable. Model limits: Refuse to treat a fluent answer or numerical score as proof of correctness.
High-stakes topics: Seek qualified medical, legal or financial professionals for decisions.
Live information: Verify recent facts on official current sources.
Document coverage: Confirm all relevant pages were imported and readable.
Model limits: Refuse to treat a fluent answer or numerical score as proof of correctness.
AI Chat Q&A is especially suited to interactive questioning and cited document exploration. AI Text Summarizer is better for condensing long source material into a digest, AI Prompt Generator helps structure instructions for another model, and AI Code Helper targets coding-specific assistance. Select by task intent, not by how many tools share the AI label.
Chat Q&A: Use to ask follow-up questions and inspect answer evidence. AI Text Summarizer: Use to extract key points from a long article or document. AI Prompt Generator: Use to build reusable prompts with explicit roles and output formats. AI Code Helper: Use for code generation, debugging, tests and programming workflows.
Chat Q&A: Use to ask follow-up questions and inspect answer evidence.
AI Text Summarizer: Use to extract key points from a long article or document.
AI Prompt Generator: Use to build reusable prompts with explicit roles and output formats.
AI Code Helper: Use for code generation, debugging, tests and programming workflows.
| Run tests |
| Professional | Workplace writing | Review policies |
| Research | Evidence analysis | Inspect sources |
| Executive Summary | Decision briefs | Confirm risks |
Know which workflow may require external processing.
| Workflow | Basis | Limitation |
|---|---|---|
| PDF Q&A | Local retrieval | Scans may not parse |
| DOCX Q&A | Document text | Tables may change |
| CSV Q&A | Cell text | Verify units |
| Multiple files | Ranked passages | Maintain attribution |
| Open knowledge | Configured model | External provider required |
| Voice | Browser speech | Permissions vary |
| Export | Stored output | Not independently certified |
Improve retrieval quality before asking questions.
| Type | Preparation | Example question |
|---|---|---|
| Check text selection | What does section 4 say? | |
| DOCX | Review tables | List requirements |
| TXT | Preserve headings | Define the term |
| CSV | Keep column labels | Find the maximum |
| Markdown | Keep heading hierarchy | Summarize this section |
| HTML | Remove irrelevant page chrome | What does this page specify? |
| JSON | Check nested fields | What is the timeout? |
| EPUB | Check chapter boundaries | What happens in chapter 3? |
Check the source appropriate to each task.
| Scenario | Sample question | Verification |
|---|---|---|
| Study | What are the definitions? | Read textbook |
| Research | What method is described? | Check research paper |
| Programming | Why does this fail? | Run a test |
| Contracts | What deadlines appear? | Read agreement |
| Finance | What changed? | Recalculate figures |
| Healthcare | What evidence is reported? | Consult primary paper |
| Business | What are risks? | Review appendix |
| Meeting | Who owns the task? | Check original notes |
Question product guides and internal FAQs, inspect source passages and draft human-reviewed answers for common customer questions.
Read beyond the cited sentence to find exceptions, restrictions, methodological warnings and later corrections.
Ask the assistant to explain an unfamiliar term or justify a particular statement instead of regenerating the entire response.
Export your conversation together with a separately maintained list of original source files and human verification notes.
When requesting another language, keep the key technical words visible and verify terms that might translate ambiguously.
Before sending a dictated question, inspect the transcript for incorrectly recognized names, formulas and document titles.
Supply the relevant as-of date and verify changing facts through official current sources before presenting them as up to date.
Retrieval-augmented generation combines a retrieval step that finds relevant passages with an answering step. Documents are parsed and searched in your browser. Questions you send to the AI are processed securely on our server and our AI provider.
BM25 is a relevance-ranking method that scores passages based on matching terms and document statistics. A strong match is a retrieval clue, not guaranteed factual support.
The product states that document-grounded local answers remain available, while general-knowledge model responses require a configured provider.
The architecture describes support for configured providers including GPT and Claude. Available provider choices depend on the live implementation and configuration.
Document Q&A is described for PDF, DOC, DOCX, TXT, CSV, Markdown, HTML, JSON and EPUB files. The exact success of extraction depends on the source format and file contents.
The tool describes multi-document research and question answering. Keep source labels explicit so claims from different documents do not get combined incorrectly.
No. Retrieval can miss context and models can be wrong. Validate citations, calculations, dates and high-stakes claims independently.
It is a heuristic assessment displayed alongside the answer. It is not a formal accuracy probability or independent fact-checking certification.
Groundedness indicates how much an answer appears supported by source material. Check the actual passages and exceptions before relying on it.
For document-grounded questions, ranked source passages and references are provided. Whether external open-domain answers have useful verifiable citations depends on the provider and sources.
Quick, Detailed, Expert, Step-by-Step, Beginner-Friendly, Academic, Technical, Professional, Research and Executive Summary are the ten advertised modes.
There are 19 advertised categories including education, science, programming, finance, legal, healthcare, history, research, career and exam preparation.
Yes. Multi-turn conversations retain recent context, allowing clarifying questions, comparisons and more detailed explanations.
The Mathematics category and Step-by-Step mode can explain approaches, but equations, assumptions and arithmetic must still be checked.
Yes. Use Programming or Technical modes for algorithms, code explanations and debugging. Run generated code safely and independently.
Yes. Ask questions about uploaded papers, compare findings and inspect citations, but check source metadata and follow academic integrity rules.
You can request general explanations or document navigation. For actual medical or legal decisions, rely on qualified professionals and original authoritative sources.
The product advertises Hindi among 12 language options. Output quality may vary with document type, source language and selected model.
Voice input is supported in compatible browsers. Review the speech-to-text transcript before trusting names, amounts or technical details.
Yes, the tool describes text-to-speech playback where browser support and voice availability permit it.
The tool describes local browser document parsing and retrieval. Configured external model requests may transmit prompts and context; do not treat the entire experience as always local.
The page describes locally stored history and saved items. Local device storage can be cleared by browser settings, privacy modes or user actions.
Yes. Conversation export is described for TXT, Markdown, PDF and JSON.
Accuracy depends on whether extractable text is present. If a scan has no text layer, use a suitable OCR workflow and verify the recognized text before asking questions.
Not without checking publication dates. An old source can be cited accurately yet be outdated, especially for prices, laws and recent events.
Narrow the question, attach authoritative sources, request citations and uncertainty, then cross-check important claims with the original documents.
Upload both readable reports, request a claim-by-claim comparison with source labels and reconcile any differing definitions or time periods.
Browser-local retrieval can reduce unnecessary uploads, but provider-powered questions may send relevant context outside the device. Review your organizational policy and provider terms.
The site describes a responsive browser interface. Exact file-upload and speech capabilities vary by device and browser.
The product lists paragraphs, tables, lists, Markdown and JSON among response formats. Always validate machine-readable content before importing it elsewhere.
AI Chat Q&A supports an ongoing exchange and targeted document questions. AI Text Summarizer is primarily for condensing longer content into a digest.
Note the exact question and source passage, request a corrected evidence-grounded answer, and avoid presenting uncertain content as confirmed.
| The assistant overlooks an exception | Relevant clause was outside the retrieved excerpt | Ask about the exclusions and read the complete original section. |
| Follow-up question loses context | Thread context changed or was truncated | Restate the central question, the file name and the necessary context. |
| Two uploaded documents get mixed together | Similar passages lacked distinctive attribution | Specify each filename and demand separate source references for every claim. |
| A CSV answer has incorrect numbers | Headers, units or rows were interpreted incorrectly | Inspect the CSV headers and recalculate values with an independent spreadsheet. |
| Legal or financial advice sounds definitive | Generated wording overstates limited source evidence | Treat output as informational, check authoritative sources and consult a qualified expert. |
| The language is not what I requested | Automatic language detection selected a different locale | Explicitly choose the target language and verify technical terms. |
| Voice input button does nothing | Microphone access is blocked or unsupported | Check browser permissions, HTTPS access and microphone selection, or type the question. |
| Speech recognition confuses names | Audio noise or uncommon technical words | Edit the transcript and resend a text version of the corrected question. |
| Read-aloud is silent | Device volume, selected voice or browser TTS support is missing | Confirm sound settings and available voices, then try a supported browser. |
| Provider request times out | Network interruption, provider limits or external service failure | Retry with a shorter request and fewer extracted passages after checking the provider configuration. |
| Exported PDF has broken layout | Long tables or special characters did not paginate cleanly | Use Markdown or TXT as an alternative and review the exported PDF before sharing. |
| JSON export cannot be imported | Receiving application expects a different schema | Inspect the JSON structure and map fields into the destination schema. |
| Chat history disappeared | Browser storage was cleared or private mode was used | Export important conversations periodically and avoid relying on temporary browser sessions. |
| The response ignores a specific date | The question lacks an explicit as-of date or source freshness | State the date and check current official information outside the chat. |
| A citation has no matching quotation | Paraphrase exceeded what the retrieved text supports | Open the original passage and rewrite the conclusion to match the evidence. |
| The answer is too long | Selected answer mode emphasizes depth | Switch to Quick and specify a word or bullet limit. |
| The answer is too shallow | Question scope or mode was too general | Select Detailed or Expert and list aspects that must be addressed. |
| Programming fix still fails | Generated guidance was not tested in the runtime environment | Provide a minimal reproducible example without secrets, run tests and examine logs. |
| A file is unsupported | Extension, encoding or document structure is incompatible | Convert to readable TXT, Markdown or searchable PDF while preserving data meaning. |
| The assistant cannot answer a chart-based question | Important values are graphical rather than extractable text | Provide a verified table transcription and label the source and units. |
| The output claims everything is private | Local retrieval was confused with optional external inference | Read the provider boundary and remove confidential context from external prompts. |
| A multi-page report yields incomplete coverage | Chunking and relevance ranking omitted important sections | Ask section-by-section questions and cross-check the full table of contents. |
| Answer scores appear inconsistent | Different metrics estimate different aspects | Do not aggregate them into a truth probability; inspect evidence directly. |
| The browser slows down with large documents | File extraction and indexing consume device memory | Split sources into smaller logical files and close unused tabs. |
| A URL cannot be used as a document | The tool primarily relies on uploaded readable files for grounded Q&A | Save permitted source text as a supported file and upload it for questions. |