Document Ops Workflow Templates
These free document automation templates cover RAG ingestion, document Q&A, PDF extraction, and translation. Built on Heym with a self-hosted Qdrant vector store and source-available nodes, they let you ground AI answers in your own files without sending documents to a managed cloud.
- RAG ingestion
- document Q&A
- PDF workflows
- file sharing
What you can automate with Document Ops templates
RAG ingestion
Chunk and embed a document into a Qdrant vector store so it can be retrieved later by the RAG Search node.
Document Q&A
Search your vector store for relevant context, then answer with an LLM grounded in your own documents.
Chat with Drive files
List your Google Drive, read the file you need, extract its text, and answer questions in plain language.
PDF and DOCX translation
Translate the full text of any uploaded document with an AI agent.
Clean web text
Fetch LLM-ready text from any URL for downstream summarization or extraction.
Batch fetching
Loop over a list of URLs, fetch each one, and merge all responses into a single payload.
Popular Document Ops templates
RAG Document Ingest
Chunk and embed a document into a Qdrant vector store so it can be retrieved later by the RAG Search node.
RAG Q&A Agent
Search your Qdrant vector store for relevant context, then answer with an LLM — grounded in your own documents.
Chat with Drive Docs
Ask questions about your Google Drive PDF files. An agent lists your Drive, reads the file you need, extracts its text, and answers in plain language.
PDF / DOCX Translation Agent
Translate the full text of any uploaded document using an AI agent.
Jina Web Fetcher
Fetch clean, LLM-ready text from any URL using the Jina Reader API.
Batch URL Fetcher
Iterate over a JSON array of URLs with the Loop node, fetch each via HTTP, and merge all responses into one payload.
Browse all Document Ops templates
Pick a workflow, copy the JSON, and adapt the nodes for your team.
Why teams run Document Ops workflows on Heym
Heym is a source-available, self-hosted AI workflow platform and a modern alternative to n8n, Zapier, and Make.
Free and source-available
Released under MIT with a Commons Clause, with no per-task or per-execution pricing.
Self-hosted
Runs on your own infrastructure with Docker, so your data and credentials stay yours.
One-paste import
Copy a template JSON, paste it onto the canvas, and run it in minutes.
AI-native n8n alternative
Agent nodes, MCP tools, and built-in RAG on a visual workflow canvas.
Document Ops templates FAQ
What is a RAG ingestion pipeline?
A RAG ingestion pipeline chunks a document, embeds the chunks, and stores them in a vector database so an LLM can later retrieve the right context to answer questions. The RAG Document Ingest template does this with a self-hosted Qdrant store.
Can I chat with my own documents?
Yes. The RAG Q&A Agent and Chat with Drive Docs templates retrieve relevant passages from your files and answer questions grounded in that content rather than guessing.
Can I customize a template after importing it?
Every node, prompt, credential, and connection is editable after import. Swap the model, change the trigger, add or remove tools, and rewire branches directly on the canvas without writing boilerplate.
Is Heym free and self-hosted?
Yes. Heym is source-available under an MIT license with a Commons Clause, so you can run every template on your own infrastructure with Docker. There is no per-task or per-execution pricing, and your data and credentials stay inside your environment.
Is Heym a good n8n alternative for these workflows?
Heym is a self-hosted, AI-native n8n alternative with a visual canvas, agent nodes, MCP tools, and built-in RAG. These templates run on the same canvas, so you get the flexibility of a node editor with first-class LLM and multi-agent support out of the box.
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