Harness capabilities of large AI models safely and rich context using Astra DV vectors
Overall Satisfaction with Astra DB
To enhance productivity and significantly boost our win ratio for building successful proposals, we aim to implement a system that provides highly contextual retrieval of relevant information from our extensive archive. This archive includes tens of thousands of proposals, Statements of Work (SOW), case studies, and pitches stored in SharePoint. By leveraging this system, we can quickly access pertinent data, enabling us to craft more competitive and informed proposals.
Pros
- Vector search
- Cost effective
- Secure
Cons
- Options for various embedding models
- Faster proposal turn around time
- Ability to do more with same
Do you think Astra DB delivers good value for the price?
Yes
Are you happy with Astra DB's feature set?
Yes
Did Astra DB live up to sales and marketing promises?
Yes
Did implementation of Astra DB go as expected?
Yes
Would you buy Astra DB again?
Yes


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