Astra DB Handles Your RAG AI Needs
Overall Satisfaction with Astra DB
We use Astra DB to store vectorized data from all of our company's unstructured files. This allows us to query these documents similar to how we query our structured SQL databases. One use case is the storage of vector data for all documents used in secure data rooms that typically contain hundreds of documents. It allows us to provide our investors with the ability to ask questions about the documents without opening each one. This saves them time and leads to a better customer experience.
Pros
- API is straightforward and simple to use
- Astra DB Dashboard is simple and easy to understand
- The vectorize functionality simplifies the document embedding process
- The document querying process is really good at extracting the necessary embeddings to send to an LLM
Cons
- In some cases, the Astra Dashboard could be more intuitive, especially when creating new collections and assigning an embedding LLM
- Astra DB has improved our customer experience by providing a new and innovative way to review documentation of our offerings.
- Astra DB brings the ChatGPT experience to our internal documents and system.
I struggled with understanding the other product and the DataStax team helped us progress in our projects with one on one assistance.
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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