Chat With Your Documents
Retrieval-augmented Q&A over your own documents. Index a small knowledge base into a vector collection, pull the passages matching a search keyword, and get a Markdown answer that cites its sources and refuses to guess when the answer isn't in the docs. NodeTool's first RAG example. The answer step uses gpt-5-mini (OpenAI key); the collection is configured for Ollama nomic-embed-text embeddings.

The workflow
Nodes in this workflow
15 nodes · 8 types- ×5String Inputnodetool.input.StringInput
- ×3Index Text Chunkvector.IndexTextChunk
- ×2Outputnodetool.output.Output
- Agentnodetool.agents.Agent
- Collectionvector.Collection
- Joinnodetool.text.Join
- Promptnodetool.text.Prompt
- Query Textvector.QueryText
How to run it
- 01
Download NodeTool Studio
Install the free desktop app for macOS, Windows, or Linux. It runs on your own machine, no account required to start.
- 02
Open the Chat With Your Documents template
Browse the built-in template library inside Studio and open this workflow onto the canvas. Every node is already wired up.
- 03
Add your keys
Connect the providers this workflow uses (Agent). Bring your own keys — you pay the provider directly.
- 04
Run and remix
Hit Run to execute the graph and watch results stream in. Swap models, edit prompts, or rewire nodes to make it yours.
Run Chat With Your Documents on your machine
Free, open source, and yours to run. Download Studio, open the template, and run it with your own keys.








