Giselle
- Guides: Step-by-step guides for using Giselle
Docs
- Guides: Step-by-step guides for using Giselle
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Get Started
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About Giselle: Welcome to the home of Giselle documentation!
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Quickstart: Get started with Giselle in minutes! This quick start guide covers signup to running your first AI app.
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Run Apps
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Playground: Run your AI applications in the Playground
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Tasks: View and manage your AI application execution history
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Build Apps
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Workspaces: Learn how to build AI workflows visually in the Workspace editor
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Integrations: Configure and manage integrations with external services for your team.
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Vector Stores: Ingest and manage GitHub repositories and documents as knowledge bases.
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Data Stores: Register and manage PostgreSQL database connections.
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API
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API Keys: Learn how to create and manage API keys to access the Giselle API programmatically.
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Giselle SDK: Learn how to use the Giselle SDK to integrate your apps with external applications and services.
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Settings
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Account: Account settings and preferences
- Authentication: Connect your Giselle account with third-party services to simplify login.
- General: Configure your account basic settings and preferences
- Account Overview: View and manage your teams.
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Team: Team management and settings
- Team Settings: Manage your team's profile, plan, and other settings.
- Members: Invite, manage, and oversee team members' access to your Giselle apps.
- Usage: Monitor and manage your team's AI app usage
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Learn About
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Plans: Understand your Giselle subscription.
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Usage: Monitor and manage your team's resource usage
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Billing: Manage your personal account billing and payments
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Privacy & Security: Manage your account security and privacy settings
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Open Source License: Learn about Giselle's open-source license and how it applies to your usage
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- Models: AI models available in Giselle
- Glossary: Definitions of key concepts and components
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Overview
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Nodes in Giselle: Learn about nodes, the building blocks of AI apps on Giselle. Connect nodes with various functions to visually design powerful AI workflows.
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App
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Start Node & End Node: Learn how Start and End Nodes in Giselle define the boundaries of your workflow, establishing where user input enters and where the final output is collected.
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Model
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Generator Node: Learn how the Generator Node in Giselle uses AI models to generate text, images, and more, forming the core of your AI flows.
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AI Parameters: Dictionary of Generation Parameters Used Across AI Models in Giselle.
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Context
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Text Node: Learn how the Text Node in Giselle allows you to store and manage plain text, such as prompts, instructions, or data, directly within your workflows.
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File Node: Learn how the File Node in Giselle allows you to upload and use files like PDFs, images, and text as inputs for your AI workflows.
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Web Page Node: Learn how the Web Page Node in Giselle allows you to fetch and use content from web pages as static inputs in your AI workflows.
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Document Vector Store Node: Learn how the Document Vector Store Node enables you to upload and search documents using vector embeddings for AI-powered retrieval in your Giselle workflows.
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GitHub Vector Store Node: Learn how the GitHub Vector Store Node vectorizes your GitHub repositories, creating a searchable knowledge base for your AI workflows in Giselle.
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Vector Query Node: Learn how the Vector Query Node in Giselle executes queries against vector store data sources to enable Retrieval-Augmented Generation (RAG).
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Data Store Node: Learn how to use the Data Store Node to integrate PostgreSQL databases into your workflows.
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Data Query Node: Learn how to use the Data Query Node to execute SQL queries against Data Store Node.
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Integration
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Trigger Node: Learn about Trigger Nodes, the starting points for workflows in Giselle. Use GitHub Triggers to initiate your AI workflow sequences.
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Action Node: Learn how Action Nodes in Giselle enable your workflows to interact with external services like GitHub, performing tasks such as creating issues, comments, or retrieving discussions in your repositories.
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Tools
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GitHub Tools: Learn how to configure and use GitHub Tools within a Generator Node, empowering your AI models to interact directly with your GitHub repositories.
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PostgreSQL Tools: Learn how to use PostgreSQL Tools in a Generator Node to connect your AI models to a PostgreSQL database, enabling them to query and retrieve data.
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- Cookbooks: Practical recipes for building AI apps
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Introduction
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What are Cookbooks: Step-by-step recipes for building practical AI apps with Giselle, from content generation to RAG-powered Q&A systems.
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App Recipes
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Blog Post & Social Media Generator: Learn both sequential and parallel processing in one workflow. Generate blog articles from topics and create optimized social media posts for multiple platforms.
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Web Research Assistant: Learn how to combine the Webpage node with LLM Web Search. Ask a question, and the AI will research using both the reference documentation and real-time web search.
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Knowledge Base Q&A: Learn how to build a RAG (Retrieval-Augmented Generation) workflow using both Document Vector Store and GitHub Vector Store together, with query optimization.
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Prompt Engineering
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Overview: Prompt Engineering in Giselle’s Node-Based UI.
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Examples: Effective Prompt Examples in Giselle’s Generator Nodes.
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Tips: Practical Tips for Effective Prompt Creation in Giselle’s Generator Nodes.
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- FAQ: Frequently asked questions
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Application FAQs
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Run Apps FAQ: Frequently asked questions about running apps in Giselle
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Build Apps FAQ: Frequently asked questions about building apps in Giselle
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AI Models FAQ: Frequently asked questions about AI models and their usage in Giselle
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Account & Billing FAQs
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Account FAQ: Frequently asked questions about Giselle accounts
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Billing FAQ: Frequently asked questions about billing and payments for Giselle
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Plan FAQ: Frequently asked questions about Giselle plans and features
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Security & Support FAQs
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Privacy & Security FAQ: Frequently asked questions about Giselle privacy and security measures
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Support FAQ: Frequently asked questions about Giselle support services
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- Releases: Product updates and release notes
- Release Notes: This page provides chronological information about the latest releases and updates of our product.
- Product Notes: This document outlines key updates, improvements, and future prospects of our product.
- Roadmap: Discover our product development plans and upcoming milestones.
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