'documents' 검색 결과

Build Python text analysis with Azure AI Language to detect sentiment, names, key phrases, languages, and personal information. Examples also cover healthcare terminology extraction, combined analyses, authentication, and handling results for multiple documents.

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• Analyzing sentiment about specific aspects of a review
• Detecting and redacting personal information
• Extracting names and key phrases from text

Implement Azure Cosmos DB data operations in JavaScript or TypeScript with @azure/cosmos. Covers creating, querying, updating, and deleting documents, plus bulk operations, container setup, and checks that prevent concurrent changes from overwriting each other.

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• Implement document creation, retrieval, updates, and deletion
• Build filtered queries with pagination
• Process multiple document operations in bulk

Design and implement LLM applications, AI agents, and RAG systems that retrieve documents to support answers. Cover model selection, search quality, testing, monitoring, safety measures, and cost controls for applications intended for production use.

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• Building an AI assistant that answers from company documents
• Improving search with keyword and vector retrieval
• Designing AI agents with multiple specialized roles

Create presentation drafts from text, outlines, or documents through the 2slides API. Match a reference image's style, choose themes, add AI voice narration, and export slide images or audio for review and use.

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• Create a presentation from text or an outline
• Summarize a document into slides
• Match slide styling to a reference image

Build AI applications that answer questions using retrieved documents. Covers vector databases, text embeddings that represent meaning as numbers, search strategies, and result reranking to connect language models with external knowledge.

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• Building Q&A systems for internal documents
• Adding domain knowledge to chatbots
• Implementing natural language document search

Write incident review documents that focus on system conditions and learning. Organize timelines, examine root causes with evidence, and turn findings into practical follow-up actions with owners and deadlines, supported by a meeting facilitation guide.

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• Writing a review after a service outage
• Analyzing root causes with the 5 Whys method
• Preparing an incident review meeting

Convert local images, audio, video, documents, and data using tools installed on the computer. Preserves original files, keeps conversion local, and checks outputs for content, format, and relevant quality changes before reporting the result.

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• Extract MP3 audio from an MP4 file
• Convert PNG images to JPEG
• Convert Markdown to DOCX or Office documents to PDF

Turn a topic, documents, or briefing into a spoken podcast episode. Draft a script for approval, generate speech in short segments, and combine them into an MP3 with its duration and output location reported.

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• Creating a podcast from a topic
• Turning documents into spoken audio
• Producing an audio briefing

Find reference images or photos for documents, pages, and presentations, then save selected files locally. Check that each file opens and report its location, dimensions, source, and stated license so the results are ready to review.

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• Gather reference images
• Find photos for documents or presentations
• Save selected web images locally

Helps connect Feishu or Lark bots, documents, spreadsheets, and approval workflows. Guides API authentication and MCP setup, a way to expose tools to agents, using environment variables for credentials and verification before externally visible changes.

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• Setting up bot webhook notifications
• Reading and updating documents or spreadsheets
• Querying Bitable records

Create and maintain due diligence checklists for acquisitions or investments. Tailor requests to the company and deal, track owners and review status, and summarize missing documents and issues that could affect valuation or deal terms.

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• Preparing a due diligence request list
• Checking a data room for missing documents
• Tracking review progress across workstreams

Find and read documents, code, papers, and notes stored in OpenViking. The skill chooses a search method, uses directory summaries to locate relevant files, and cites resource addresses so readers can open the supporting material.

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• Checking requirements in a saved design document
• Finding files by an error message or exact term
• Locating relevant passages in stored papers and notes

Turn recurring procedures and specialized knowledge into reusable agent skills. It guides the design of SKILL.md, scripts, reference documents, and output assets, then validates the structure and packages the files for distribution.

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• Turning a recurring task into an agent skill
• Organizing internal knowledge and reference documents
• Bundling scripts and templates with a skill

Use OpenViking MCP tools to retrieve relevant knowledge before substantial tasks and save lasting preferences, decisions, and lessons during or after work. Import documents as searchable resources so later tasks can draw on previous findings.

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• Retrieve previous fixes before debugging
• Save lasting preferences and working conventions
• Record decisions and their rationale

Work with PDF files using PDFtk Server commands to merge documents, extract or rotate pages, fill forms, add watermarks, and manage password protection. Includes practical command examples and guidance for troubleshooting common problems.

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• Merge multiple PDFs into one document
• Extract selected pages or remove unwanted pages
• Fill PDF forms from FDF data

Convert Markdown documents into HTML for web pages, documentation, or previews. Covers single files, batch conversion, and static site workflows, with guidance on tables, code blocks, math rendering, and handling untrusted content safely.

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• Convert Markdown documentation into HTML
• Batch-convert multiple .md files
• Build static sites from Markdown

Analyze local documents or public web pages and produce a Word report with source screenshots beside each factual claim. Yellow highlights identify the supporting passages so readers can visually check the analysis against the original.

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• Review an analysis alongside its source passages
• Analyze Word documents or PDFs with visual evidence
• Turn a public web page analysis into a Word report

Create Markdown documents for time-limited technical investigations before implementation. Define the decision to resolve, research tasks, success criteria, and deadlines, then record evidence, recommendations, and follow-up actions in a consistent structure.

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• Investigating API capabilities before integration
• Comparing architecture options before implementation
• Planning experiments to check performance assumptions

Work with PDF files to extract text, tables, and images, combine or split documents, rotate pages, and create new PDFs. It also covers forms, watermarks, password protection, and OCR, which recognizes text in scanned pages.

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• Extracting text and tables from PDFs
• Combining documents or splitting pages
• Recognizing text in scanned PDFs

Build a screening pipeline for web pages, PDFs, and images before an AI agent reads them. Extract hidden text, check for malicious instructions with detection models, and record decisions to block or allow content.

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• Screening external content before an agent reads it
• Checking uploaded PDFs and images for hidden instructions
• Scanning documents before adding them to a knowledge base

Inspect suspicious PDFs without opening them in a document viewer. Use peepdf, pdfid, and pdf-parser to examine internal objects, extract embedded code and files, and report threat indicators such as URLs and hashes.

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• Triaging suspicious PDF email attachments
• Investigating PDF exploit documents
• Extracting embedded JavaScript and files

Apply coordinated colors and fonts to slides, documents, reports, and HTML landing pages. Choose from ten preset themes or create a custom theme from a description, review it, and apply consistent styling across the artifact.

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• Unifying colors and fonts across a slide deck
• Choosing a visual style for documents and reports
• Applying a theme to an HTML landing page

Design and improve RAG systems, which retrieve documents to support language model answers. Explore meaningful document splitting, vector storage, combined keyword and semantic search, and relevance ranking while checking common causes of poor retrieval.

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• Design a system that answers questions using documents
• Review document splitting when search misses relevant content
• Combine keyword search with search based on meaning

Build AI workflows with DSPy by defining inputs and outputs and combining reusable components. Create question answering systems that use retrieved documents, tool-using agents, and automatically optimized prompts, then compare results with evaluation data.

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• Build question answering systems that use retrieved documents
• Optimize prompts using examples and evaluation metrics
• Combine AI tasks into reusable processing stages