cognee/docs/kr/setup-configuration/community-maintained/overview.md
HectorSin fbead80a36 docs: setup documentation structure for i18n (en/ko)
Signed-off-by: HectorSin <kkang15634@ajou.ac.kr>
2026-01-14 12:17:24 +09:00

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# Adapters Overview
> Adapters and extensions built by the Cognee community
Community-maintained integrations are adapters built and maintained by the Cognee community. These extend Cognee's functionality with additional providers and services.
<Note>
Community integrations are maintained separately from the core Cognee package. For issues or contributions, visit the [cognee-community repository](https://github.com/topoteretes/cognee-community).
</Note>
## Available Integrations
### Vector Stores
* **[Qdrant](/setup-configuration/community-maintained/qdrant)** — High-performance vector search engine
* **[Milvus](https://github.com/topoteretes/cognee-community/tree/main/packages/vector/milvus)** — Cloud-native vector database (docs coming soon)
* **[Pinecone](https://github.com/topoteretes/cognee-community/tree/main/packages/vector/pinecone)** — Managed vector database (docs coming soon)
* **[Weaviate](https://github.com/topoteretes/cognee-community/tree/main/packages/vector/weaviate)** — Open-source vector search engine (docs coming soon)
* **[Redis](https://github.com/topoteretes/cognee-community/tree/main/packages/vector/redis)** — Redis with vector search capabilities (docs coming soon)
* **[Azure AI Search](https://github.com/topoteretes/cognee-community/tree/main/packages/vector/azureaisearch)** — Azure cognitive search service (docs coming soon)
* **[OpenSearch](https://github.com/topoteretes/cognee-community/tree/main/packages/vector/opensearch)** — OpenSearch vector engine (docs coming soon)
### Hybrid Stores
* **[DuckDB](https://github.com/topoteretes/cognee-community/tree/main/packages/hybrid/duckdb)** — In-process analytical database (docs coming soon)
* **[FalkorDB](/setup-configuration/community-maintained/falkordb)** — Graph database with vector support (docs coming soon)
### Graph Stores
* **[Memgraph](https://github.com/topoteretes/cognee-community/tree/main/packages/graph/memgraph)** — In-memory graph database (docs coming soon)
* **[NetworkX](https://github.com/topoteretes/cognee-community/tree/main/packages/graph/networkx)** — Python graph library adapter (docs coming soon)
### Observability
* **[KeywordsAI](https://github.com/topoteretes/cognee-community/tree/main/packages/observability/keywordsai)** — LLM monitoring and analytics (docs coming soon)
## Contributing
To contribute a new community integration:
1. Fork the [cognee-community repository](https://github.com/topoteretes/cognee-community)
2. Follow the adapter development guide
3. Submit a pull request with your integration
4. Add documentation following the existing patterns
## Support
For community integration support:
* Check the integration's README in the repository
* Open issues in the cognee-community repository
* Join the [Discord community](https://discord.gg/cqF6RhDYWz) for help
<Columns cols={2}>
<Card title="Vector Stores" icon="database" href="/setup-configuration/vector-stores">
Official vector store providers
</Card>
<Card title="Setup Overview" icon="settings" href="/setup-configuration/overview">
Configuration overview
</Card>
</Columns>
---
> To find navigation and other pages in this documentation, fetch the llms.txt file at: https://docs.cognee.ai/llms.txt