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For a long time, vector databases were a bit of a niche product, but because they are uniquely suited to provide context and long-term memory to large language models, everybody in the database space is now seemingly trying to bolt vector search onto their existing products as fast as possible. Meanwhile, dedicated services like Pinecone, […]

© 2023 TechCrunch. All rights reserved. For personal use only.

For a long time, vector databases were a bit of a niche product, but because they are uniquely suited to provide context and long-term memory to large language models, everybody in the database space is now seemingly trying to bolt vector search onto their existing products as fast as possible. Meanwhile, dedicated services like Pinecone,
© 2023 TechCrunch. All rights reserved. For personal use only.  

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For a long time, vector databases were a bit of a niche product, but because they are uniquely suited to provide context and long-term memory to large language models, everybody in the database space is now seemingly trying to bolt vector search onto their existing products as fast as possible. Meanwhile, dedicated services like Pinecone, […]

© 2023 TechCrunch. All rights reserved. For personal use only.

For a long time, vector databases were a bit of a niche product, but because they are uniquely suited to provide context and long-term memory to large language models, everybody in the database space is now seemingly trying to bolt vector search onto their existing products as fast as possible. Meanwhile, dedicated services like Pinecone,
© 2023 TechCrunch. All rights reserved. For personal use only.