The best file formats are DOCX and CSV, followed by well-structured PDFs. DOCX files preserve headings and intent, CSV files provide clean structured data, and PDFs work best only when they are text-based (not scanned). For high accuracy, structure and […]
You can keep your AI chatbot synchronized by connecting your XML Sitemap to an AI ingestion system that regularly crawls the sitemap, detects changes, and re-indexes updated pages automatically. Instead of manual reuploads, the chatbot stays aligned with your latest […]
The best approach is not “scraping” the rendered UI, but ingesting from a stable source of truth: an API, CMS export, sitemap, or pre-rendered/SSR HTML—then syncing updates into your knowledge base. Use headless browser scraping (Playwright/Puppeteer) only as a fallback […]
Yes. The practical way is to ingest the video transcripts (and metadata/timestamps)—not the raw video file. CustomGPT supports building an agent from a YouTube channel by automatically detecting videos and generating transcripts, which become searchable knowledge your chatbot can answer […]
You can make Google Drive and Notion searchable through one AI interface by connecting both sources to a retrieval-augmented AI system that securely ingests, indexes, and semantically searches across them. Instead of switching tools, users query once and receive grounded […]
Integrate it by putting a thin “chat API” layer between your mobile app and your RAG provider: the app sends messages to your backend, your backend calls the RAG chat-completions endpoint, then streams or returns the response to the app […]
An AI chatbot with multi-source data integrations delivers more complete, accurate, and context-aware answers by pulling information from multiple systems at once—such as CRM, help desk, policy docs, cloud storage, and internal knowledge bases. Instead of siloed responses, users get […]
Yes—if you treat it like any privileged enterprise app: enforce least-privilege permissions, restrict which channels it can access, and add guardrails against data leakage and prompt-injection. The safest setups combine Slack’s app/security controls with AI-side governance (citations, “don’t answer without […]
Build it as a retrieval + verification system, not just “chat over documents.” Use clean ingestion (versions + permissions), strong retrieval (hybrid + reranking), grounded generation (citations per claim), and continuous evaluation. Reliability comes from controls: what can be answered, […]
The best way to use AI to make academic research papers more accessible is to train an AI assistant on your published papers, datasets, and supplementary materials so readers can ask questions in plain language and receive clear, accurate explanations […]
