Revise README for SDK and use-case links
Updated README to reflect changes in SDK usage and links.
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Build dynamic memory for Agents and replace RAG using scalable, modular ECL (Extract, Cognify, Load) pipelines.
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Build dynamic memory for Agents and replace RAG using scalable, modular ECL (Extract, Cognify, Load) pipelines.
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More on [use-cases](https://docs.cognee.ai/use-cases) and [evals](https://github.com/topoteretes/cognee/tree/main/evals)
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<p align="center">
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<p align="center">
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🌐 Available Languages
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🌐 Available Languages
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@ -86,9 +84,10 @@ Get started quickly with a Google Colab <a href="https://colab.research.google.
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Self-hosted package:
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Self-hosted package:
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- Get self-serve UI with embedded Python notebooks
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- Get self-serve UI with embedded Python notebooks
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- Add custom tasks and pipelines
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- Add custom tasks and pipelines via Python SDK
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- Get Docker images and MCP servers you can deploy
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- Get Docker images and MCP servers you can deploy
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- Use distributed cognee to process a TBs of your data
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- Use distributed cognee SDK to process a TBs of your data
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- Use community adapters to connect to Redis, Azure, Falkor and others
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Hosted platform:
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Hosted platform:
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- Sync your local data to our [hosted solution](www.cognee.ai)
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- Sync your local data to our [hosted solution](www.cognee.ai)
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