Pranav_Ghoghari

Its really impressive that they stuck to their vision over the long term. This is difficult and more challenging than it sounds.

I am not sure for how long the output will stay absolutely free. But apart from the pricing advantage of Jev itself, I just love the simplicity of having only an input price. Input is pretty easy to estimate and calculate upfront, which makes the cost of running something at scale much more predictable.

With LLMs, even with JSON schema constraints and structured output, the actual cost can still be hard to predict because of varying output lengths and, especially, unpredictable reasoning costs. There is something really nice about being able to tokenize and predicting the budget beforehand.

Trying to take Vector DBs beyond RAG.

Thinking about making an open-source library specific to Vector related operations like clustering, classification, anomaly detection to make it easy for developers to get more out of their vector embeddings. Basically sk-learn for Vector operations.

Trueee,,,the use cases normally are very engineering oriented and not useful for every end user.