Workflow hub

AI & Automation Workflow Library

Run battle-tested playbooks for RAG, custom GPTs, vector ingestion, summarization, and more. Every workflow ships with recommended document formats, tooling, and QA steps.

RAG Pipeline SetupChatGPT Custom GPT CreationVector Database IngestionLLM Fine-tuning Dataset PreparationPrompt Engineering Knowledge BaseAI Agent Document ProcessingSemantic Search Index BuildingDocument Summarization PipelineAI Customer Support Knowledge BaseAI Content Generation from Sources

Select a workflow

Each guide details ingestion, preparation, automation phases, key metrics, and the Markdown conversion specs required for success.

RAG Pipeline Setupintermediate

Retrieval-Augmented Generation for context-aware AI responses

Est. time: 2-4 hours setup, ongoing maintenance

PDF sourcesView →Word sourcesView →HTML sourcesView →EPUB sourcesView →
Core tools
LangChainPineconeWeaviateOpenAI EmbeddingsChroma
View RAG Pipeline Setup guide →
ChatGPT Custom GPT Creationbeginner

Build specialized ChatGPT instances with custom knowledge

Est. time: 30 minutes to 2 hours

PDF sourcesView →Word sourcesView →Excel sourcesView →PowerPoint sourcesView →
Core tools
ChatGPT PlusMarkdown editorsGPT Builder
View ChatGPT Custom GPT Creation guide →
Vector Database Ingestionintermediate

Populate vector stores with embedded document content

Est. time: 1-3 hours for initial setup

PDF sourcesView →Word sourcesView →HTML sourcesView →JSON sourcesView →
Core tools
PineconeWeaviateQdrantMilvusOpenAI APICohere
View Vector Database Ingestion guide →
LLM Fine-tuning Dataset Preparationadvanced

Prepare training data for custom LLM fine-tuning

Est. time: 4-8 hours for dataset creation

PDF sourcesView →Word sourcesView →CSV sourcesView →JSON sourcesView →HTML sourcesView →
Core tools
OpenAI Fine-tuningHugging FaceAnthropicJSON validators
View LLM Fine-tuning Dataset Preparation guide →
Prompt Engineering Knowledge Basebeginner

Build searchable knowledge bases for enhanced prompts

Est. time: 1-2 hours

PDF sourcesView →Word sourcesView →HTML sourcesView →EPUB sourcesView →
Core tools
NotionObsidianPineconeCustom search engines
View Prompt Engineering Knowledge Base guide →
AI Agent Document Processingadvanced

Automate document workflows with AI agents

Est. time: 4-6 hours

PDF sourcesView →Excel sourcesView →Word sourcesView →Image sourcesView →CSV sourcesView →
Core tools
LangChain AgentsAutoGPTCrewAIn8nZapier
View AI Agent Document Processing guide →
Semantic Search Index Buildingintermediate

Create searchable semantic indexes from documents

Est. time: 3-5 hours

PDF sourcesView →Word sourcesView →HTML sourcesView →EPUB sourcesView →
Core tools
ElasticsearchAlgoliaPineconeOpenAICohere
View Semantic Search Index Building guide →
Document Summarization Pipelineintermediate

Automatically generate document summaries with AI

Est. time: 1-2 hours

PDF sourcesView →Word sourcesView →EPUB sourcesView →HTML sourcesView →
Core tools
OpenAI GPT-4ClaudeLangChainAnthropic
View Document Summarization Pipeline guide →
AI Customer Support Knowledge Baseintermediate

Build AI-powered support systems from documentation

Est. time: 2-4 hours

PDF sourcesView →Word sourcesView →HTML sourcesView →CSV sourcesView →
Core tools
IntercomZendesk AICustom chatbotsLangChain
View AI Customer Support Knowledge Base guide →
AI Content Generation from Sourcesbeginner

Generate new content based on source material

Est. time: 30 minutes to 1 hour

PDF sourcesView →Word sourcesView →HTML sourcesView →PowerPoint sourcesView →
Core tools
GPT-4ClaudeJasperCopy.ai
View AI Content Generation from Sources guide →
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