45 lines
No EOL
1.2 KiB
Markdown
45 lines
No EOL
1.2 KiB
Markdown
# QUICKSTART
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!!! tip "To understand how cognee works check out the [conceptual overview](conceptual_overview.md)"
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## Setup
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You will need a Weaviate instance and an OpenAI API key to use cognee.
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Weaviate let's you run an instance for 14 days for free. You can sign up at their website: [Weaviate](https://www.semi.technology/products/weaviate.html)
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You can also use Ollama or Anyscale as your LLM provider. For more info on local models check [here](local_models.md)
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```
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import os
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os.environ["LLM_API_KEY"] = "YOUR_OPENAI_API_KEY"
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```
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or
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```
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cognee.config.llm_api_key = "YOUR_OPENAI_API_KEY"
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```
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If you are using Networkx, create an account on Graphistry to vizualize results:
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```
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cognee.config.set_graphistry_username = "YOUR_USERNAME"
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cognee.config.set_graphistry_password = "YOUR_PASSWORD"
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```
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## Run
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```
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import cognee
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text = """Natural language processing (NLP) is an interdisciplinary
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subfield of computer science and information retrieval"""
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cognee.add(text) # Add a new piece of information
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cognee.cognify() # Use LLMs and cognee to create knowledge
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search_results = cognee.search("SIMILARITY", {'query': 'Tell me about NLP'}) # Query cognee for the knowledge
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for result_text in search_results[0]:
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print(result_text)
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``` |