Revise README for SDK and use-case links

Updated README to reflect changes in SDK usage and links.
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Vasilije 2025-09-24 20:29:09 +02:00 committed by GitHub
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Build dynamic memory for Agents and replace RAG using scalable, modular ECL (Extract, Cognify, Load) pipelines. Build dynamic memory for Agents and replace RAG using scalable, modular ECL (Extract, Cognify, Load) pipelines.
More on [use-cases](https://docs.cognee.ai/use-cases) and [evals](https://github.com/topoteretes/cognee/tree/main/evals)
<p align="center"> <p align="center">
🌐 Available Languages 🌐 Available Languages
: :
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Self-hosted package: Self-hosted package:
- Get self-serve UI with embedded Python notebooks - Get self-serve UI with embedded Python notebooks
- Add custom tasks and pipelines - Add custom tasks and pipelines via Python SDK
- Get Docker images and MCP servers you can deploy - Get Docker images and MCP servers you can deploy
- Use distributed cognee to process a TBs of your data - Use distributed cognee SDK to process a TBs of your data
- Use community adapters to connect to Redis, Azure, Falkor and others
Hosted platform: Hosted platform:
- Sync your local data to our [hosted solution](www.cognee.ai) - Sync your local data to our [hosted solution](www.cognee.ai)