cognee/docs/ko/setup-configuration/community-maintained/overview.md

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.

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).

Available Integrations

Vector Stores

• Qdrant — High-performance vector search engine
• Milvus — Cloud-native vector database (docs coming soon)
• Pinecone — Managed vector database (docs coming soon)
• Weaviate — Open-source vector search engine (docs coming soon)
• Redis — Redis with vector search capabilities (docs coming soon)
• Azure AI Search — Azure cognitive search service (docs coming soon)
• OpenSearch — OpenSearch vector engine (docs coming soon)

Hybrid Stores

• DuckDB — In-process analytical database (docs coming soon)
• FalkorDB — Graph database with vector support (docs coming soon)

Graph Stores

• Memgraph — In-memory graph database (docs coming soon)
• NetworkX — Python graph library adapter (docs coming soon)

Observability

• KeywordsAI — LLM monitoring and analytics (docs coming soon)

Contributing

To contribute a new community integration:

1. Fork the cognee-community repository
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 for help

Official vector store providers Configuration overview

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To find navigation and other pages in this documentation, fetch the llms.txt file at: https://docs.cognee.ai/llms.txt