docs: write about FalkorDB
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README.md
11
README.md
@@ -49,6 +49,7 @@ A remotely accessible Kubernetes home lab with OIDC authentication. Build a mode
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- **[Querybook](https://www.querybook.org/)**: Big data querying UI with notebook interface
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- **[Querybook](https://www.querybook.org/)**: Big data querying UI with notebook interface
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- **[ClickHouse](https://clickhouse.com/)**: High-performance columnar analytics database
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- **[ClickHouse](https://clickhouse.com/)**: High-performance columnar analytics database
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- **[Qdrant](https://qdrant.tech/)**: Vector database for AI/ML applications
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- **[Qdrant](https://qdrant.tech/)**: Vector database for AI/ML applications
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- **[FalkorDB](https://www.falkordb.com/)**: Graph database with vector similarity search for knowledge graphs
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- **[Lakekeeper](https://lakekeeper.io/)**: Apache Iceberg REST Catalog for data lake management
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- **[Lakekeeper](https://lakekeeper.io/)**: Apache Iceberg REST Catalog for data lake management
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- **[Apache Superset](https://superset.apache.org/)**: BI platform with rich chart types and high customizability
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- **[Apache Superset](https://superset.apache.org/)**: BI platform with rich chart types and high customizability
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- **[Metabase](https://www.metabase.com/)**: Lightweight BI with simple configuration and clean, modern interface
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- **[Metabase](https://www.metabase.com/)**: Lightweight BI with simple configuration and clean, modern interface
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@@ -288,6 +289,16 @@ High-performance vector database:
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[📖 See Qdrant Documentation](./qdrant/README.md)
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[📖 See Qdrant Documentation](./qdrant/README.md)
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### FalkorDB
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High-performance graph database with vector capabilities:
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- **Knowledge Graphs**: Build and query complex relationship networks with OpenCypher
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- **Vector Search**: Native vector similarity for GraphRAG applications
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- **Redis Compatible**: Uses Redis protocol for easy integration
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[📖 See FalkorDB Documentation](./falkordb/README.md)
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### Lakekeeper
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### Lakekeeper
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Apache Iceberg REST Catalog:
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Apache Iceberg REST Catalog:
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