I love the flexibility it offers with data chunking and vectorization; it significantly enhances our LLM's performance.
Sometimes, the response time can lag, especially when dealing with large datasets.
Carbon allows us to integrate various data streams effectively, which is essential for our data-heavy AI projects.
I appreciate the variety of data connectors available, which allows my team to pull data from multiple sources seamlessly.
The user interface is not very intuitive, and it took some time to get accustomed to the setup process.
Carbon helps us consolidate unstructured data from various platforms, which has streamlined our data retrieval process, but the initial setup can be quite challenging.
The security features of Carbon are top-notch. I feel confident knowing that our data is encrypted and safe.
It can be a bit overwhelming with so many features; a more guided tutorial would be helpful.
Carbon effectively retrieves data for our LLM applications, allowing us to focus on analyzing data rather than spending time on retrieval logistics.
The managed OAuth feature is fantastic. It simplifies the process of integrating third-party services securely.
I wish there were more tutorials available for new users to help them get started quickly.
Carbon has reduced our time spent on data integration from hours to minutes, allowing us to focus on building better models.
The custom sync schedules are incredibly useful. They allow me to optimize data retrieval based on our project needs.
The pricing structure can be confusing to navigate, especially when trying to find the right plan for our scale.
It helps us manage large amounts of unstructured data effortlessly, making our LLM models more effective with timely data access.