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Documentation Index

Fetch the complete documentation index at: https://docs.cognee.ai/llms.txt

Use this file to discover all available pages before exploring further.

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.

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Available Integrations

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Vector Stores

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

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Hybrid Stores

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

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Graph Stores

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

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Observability

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

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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

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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

Vector Stores

Official vector store providers

Setup Overview

Configuration overview