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Client Vector Search
DevOps
Semantic search implemented in just five lines of code.
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Semantic search on the client side requires just 5 lines of code, including embeddings. Our embedding model surpasses OpenAI's text-embedding-ada-002 and is capable of generating embeddings effortlessly, even on an Apple Watch! You don't need to spend anything to begin; as you scale, you'll pay 10-20 times less to compute, store, or search 1 million embeddings using our API.
