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Boris Arzentar 2024-05-28 11:35:23 +02:00
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README.md
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@ -32,8 +32,10 @@ Deterministic LLMs Outputs for AI Engineers using graphs, LLMs and vector retrie
![Cognee Demo](assets/cognee_demo.gif)
Try it in a Google collab <a href="https://colab.research.google.com/drive/184Kpe9XGjrt8nVss0WDiPsPRrPk5lZ6o?usp=sharing">notebook</a> or have a look at our <a href="https://topoteretes.github.io/cognee">documentation</a>
Try it in a Google collab <a href="https://colab.research.google.com/drive/1_9o66rYOWQWc2rZA_3HekdOphzystSxx?usp=sharing">notebook</a> or have a look at our <a href="https://topoteretes.github.io/cognee">documentation</a>
https://colab.research.google.com/drive/184Kpe9XGjrt8nVss0WDiPsPRrPk5lZ6o?usp=sharing
If you have questions, join our <a href="https://discord.gg/NQPKmU5CCg">Discord</a> community
@ -72,6 +74,12 @@ import cognee
cognee.config.llm_api_key = "YOUR_OPENAI_API_KEY"
```
To run the UI, run:
```
docker-compose up cognee
```
Then navigate to localhost:3000/wizard
You can also use Ollama or Anyscale as your LLM provider. For more info on local models check our [docs](https://topoteretes.github.io/cognee)
### Run