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Python is one of the most popular languages for data science, AI/ML, and backend development, yet ArcadeDB lacked native Python support. This makes it difficult for Python developers to leverage ArcadeDB's unique multi-model capabilities, particularly for:
- Vector similarity search with HNSW indexing (crucial for RAG and semantic search applications)
- Graph analytics and traversals using Cypher/Gremlin
- Embedded database scenarios where running a separate server is impractical
- Development workflows requiring a lightweight, self-contained database
robfrank