We published the new @InfraNodus node for @n8n_io so now you can use GraphRAG directly in your AI automation workflows.
Some great use cases:
- Using a knowledge graph as an expert (advanced GraphRAG)
- Generating content gaps and research questions
- Augmenting RAG prompts with knowledge base overview
- Automating your InfraNodus workflows
Installation instructions are available in the first comment.
@elonmusk@BasedMikeLee Less than 2% is still about $70 Bln which is more than 10% of what those two companies have ever made.
Now the number looks quite different from this perspective. And it’s much higher if we just look at SpaceX.
Do you ever wonder why crypto trading is so the most talked about topic in relation to OpenClaw?
This becomes very clear when you look at all the posts about the security concerns and people getting their wallets stolen (top OpenClaw posts visualized with #infranodus)
Carefully check all the skills you install for malicious commands and even better — run it on a machine that doesn't have access to your main wallets.
Using InfraNodus for analyzing research papers with the help of the knowledge graph and AI.
Helps you get a reproducible (!) overview of any field using a solid peer-reviewed algorithm and to detect content gaps = where more research is needed.
Ok, this is hands down one of the best tutorials I wrote on using @InfraNodus for scientific analysis.
If you are a researcher, you will definitely benefit from this approach.
1. It shows you how to reveal the main themes in any domain.
2. It demonstrates how to find gaps and discover weak signals where more research is needed.
3. It even demonstrates how you can estimate general public's knowledge and interest of the subject to make your research appealing to a wider audience.
🧵
The new InfraNodus MCP server is out!
Use it to augment your LLM workflows with GraphRAG and knowledge graphs.
It can also integrate your existing InfraNodus graphs into your AI chats, so now you can use them as reasoning experts or as additional sources for your research projects.
We published the InfraNodus MCP server!
You can now deploy @infranodus directly in your existing LLM workflows: from Claude (desktop and web) and ChatGPT to @n8n_io and custom AI workflows.
It is particularly useful for identifying topics and content gaps in your documents.
Or using the knowledge graphs you already have in InfraNodus as the reasoning experts that can be connected to your existing AI conversations and research projects.
We have several options to deploy the server. 🧵
We published the new @InfraNodus node for @n8n_io so now you can use GraphRAG directly in your AI automation workflows.
Some great use cases:
- Using a knowledge graph as an expert (advanced GraphRAG)
- Generating content gaps and research questions
- Augmenting RAG prompts with knowledge base overview
- Automating your InfraNodus workflows
Installation instructions are available in the first comment.
We just added Claude, Gemini, and GPT-5 to @InfraNodus (and our API).
Now you can use the advanced GraphRAG knowledge graphs with AI capabilities that serve the most advanced models.
I tested the new GPT 5, Thinking, and Pro models with InfraNodus to visualize the structure of their responses.
It turns out the most diverse response is provided by the Pro model (left image), which offers the optimal combination of breadth and depth (vs. the standard GPT 5 on right image).
Compared to the new Claude 4 and 4.1, the answers are also much more diverse in the GPT 5 and especially the Pro model.
So if you want to do proper research, GPT 5 is the way to go!
Watch the full video in the first comment.
@jasonprotocol@Starlink … a young man is checking his email from a remote desert, an old lady is sending a birthday greeting to her granddaughter from a glacier…. Omg I’m going to cry now!
Elon Musk and Donald Trump are trending on X today and here is a visualization of the main topics in the most popular X posts made with @InfraNodus —
1. Epstein files
2. Presidential controversies
3. Political divisions
4. American trust
5. Congressional issues
Looks like the Epstein bomb was really the last straw here.
@YouTubeCreators For content ideas, you can use https://t.co/OSJXUAZudp to visualize the most popular videos on a topic on YouTube.
Then visualize what people search for.
Identify what they search for but don't find. And target that.
@Sowrob_ETH @Altcoin_Scan@Chain_GPT Then you absolutely have to try https://t.co/OSJXUAYWnR — it uses knowledge graphs to find gaps in content and generate questions.
Our new workflows for @n8n_io are in the Trending category.
Check them out and explore how you can build powerful chatbots with custom GraphRAG expert knowledge using our approach.
The most powerful feature of InfraNodus is out.
You can segment your graphs by tags to find the parts of your data where there's an overlap between different categories.
Check out the new metadata tagging and segment filtering feature of @InfraNodus.
You can use it to filter the statements and the graph by certain attributes and combine them to find the overlap.
Very useful for analyzing several import sources or search engine optimization.