Giselle

docs.giselles.ai
Websites

- Guides: Step-by-step guides for using Giselle

llms.txt

Docs

  • Guides: Step-by-step guides for using Giselle
    • Get Started

    • About Giselle: Welcome to the home of Giselle documentation!

    • Quickstart: Get started with Giselle in minutes! This quick start guide covers signup to running your first AI app.

    • Run Apps

    • Playground: Run your AI applications in the Playground

    • Tasks: View and manage your AI application execution history

    • Build Apps

    • Workspaces: Learn how to build AI workflows visually in the Workspace editor

    • Integrations: Configure and manage integrations with external services for your team.

    • Vector Stores: Ingest and manage GitHub repositories and documents as knowledge bases.

    • Data Stores: Register and manage PostgreSQL database connections.

    • API

    • API Keys: Learn how to create and manage API keys to access the Giselle API programmatically.

    • Giselle SDK: Learn how to use the Giselle SDK to integrate your apps with external applications and services.

    • Settings

    • 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.
    • 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
    • Learn About

    • Plans: Understand your Giselle subscription.

    • Usage: Monitor and manage your team's resource usage

    • Billing: Manage your personal account billing and payments

    • Privacy & Security: Manage your account security and privacy settings

    • Open Source License: Learn about Giselle's open-source license and how it applies to your usage

  • Models: AI models available in Giselle
    • Providers

    • Overview: AI Model Providers.

    • Anthropic: Available Anthropic AI Models Overview.

    • Google: Available Google AI Models Overview.

    • OpenAI: Overview of available OpenAI Models within the Giselle workspace.

    • Open Source Only

    • fal.ai: Overview of Available fal.ai Image Generation Models.

  • Glossary: Definitions of key concepts and components
    • Overview

    • 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.

    • App

    • 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.

    • Model

    • 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.

    • AI Parameters: Dictionary of Generation Parameters Used Across AI Models in Giselle.

    • Context

    • 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.

    • 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.

    • 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.

    • 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.

    • 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.

    • Vector Query Node: Learn how the Vector Query Node in Giselle executes queries against vector store data sources to enable Retrieval-Augmented Generation (RAG).

    • Data Store Node: Learn how to use the Data Store Node to integrate PostgreSQL databases into your workflows.

    • Data Query Node: Learn how to use the Data Query Node to execute SQL queries against Data Store Node.

    • Integration

    • Trigger Node: Learn about Trigger Nodes, the starting points for workflows in Giselle. Use GitHub Triggers to initiate your AI workflow sequences.

    • 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.

    • Tools

    • 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.

    • 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.

  • Cookbooks: Practical recipes for building AI apps
    • Introduction

    • What are Cookbooks: Step-by-step recipes for building practical AI apps with Giselle, from content generation to RAG-powered Q&A systems.

    • App Recipes

    • 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.

    • 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.

    • 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.

    • Prompt Engineering

    • Overview: Prompt Engineering in Giselle’s Node-Based UI.

    • Examples: Effective Prompt Examples in Giselle’s Generator Nodes.

    • Tips: Practical Tips for Effective Prompt Creation in Giselle’s Generator Nodes.

  • FAQ: Frequently asked questions
    • Application FAQs

    • Run Apps FAQ: Frequently asked questions about running apps in Giselle

    • Build Apps FAQ: Frequently asked questions about building apps in Giselle

    • AI Models FAQ: Frequently asked questions about AI models and their usage in Giselle

    • Account & Billing FAQs

    • Account FAQ: Frequently asked questions about Giselle accounts

    • Billing FAQ: Frequently asked questions about billing and payments for Giselle

    • Plan FAQ: Frequently asked questions about Giselle plans and features

    • Security & Support FAQs

    • Privacy & Security FAQ: Frequently asked questions about Giselle privacy and security measures

    • Support FAQ: Frequently asked questions about Giselle support services

  • 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.
Related

llmtxt.app – AI SEO & Search Engine Optimization Directory

/llms.txt
635 tokens
/llms-full.txt
2,429 tokens
Websites

A proposal to standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time.

/llms.txt
318 tokens
Websites

/llms.txt
33,874 tokens
/llms-full.txt
3,770,473 tokens
Websites

/llms.txt
1,164 tokens
/llms-full.txt
1,167 tokens
Websites

About Matt Rickard.

/llms.txt
515,931 tokens
/llms-full.txt
515,931 tokens
Websites

/llms.txt
628 tokens
Websites

Evan Boehs — personal website.

/llms.txt
265 tokens
Websites

This very website you're looking at right now!

/llms.txt
48 tokens
Websites