Sema for In-Memory Semantic Search: A Practical Engineering Decision
Sema turns sentence-transformer embeddings into an in-process search index. Use it when your corpus fits in RAM and operational simplicity outweighs distributed scale.
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Sema turns sentence-transformer embeddings into an in-process search index. Use it when your corpus fits in RAM and operational simplicity outweighs distributed scale.
python
sema