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Thank you!


I must ask you some arguments... it'll be helpful to have your detailed thoughts


Yes you're right. SOC 2 is our priority for the next few weeks. If you have experience in enterprise sales, I'd love to chat (nael@panora.dev). Thanks.


> nael@panora.dev

Happy to chat. Email sent.


Yes, we aim to focus on companies with their LLMs by providing embeddings and chunkings out of the box on top of all the data we sync across different software.


sounds like a neat use-case!


Yes they built a cool product! Actually, we aim to focus on companies feeding their LLMs by providing embeddings and chunkings out of the box on top of all the data we sync. We don't only help you connect with 3rd parties but also receive data that can be interpreted for AI use cases (e.g: RAG).


The optimal chunking strategy is often highly, highly dependent on the data used and questions to be answered.

The net is plastered with blog posts about optimal strategies, of which there seem to be more than 10 and new approaches popping up often.

It seems consensus that trial and error is the way to go to optimize cost and performance.

How do you plan to tackle this when providing it out of the box?


That's why we wanted to try the OSS approach where contributors can help keep up with the optimal strategy. We also plan to build an engine to test each strategy and compare retrieval perf before choosing one at runtime.


We first wanted to let ppl handle it since our API already provides the necessary abstraction to extract/write data, then doing "function calling" is just a matter of plugging the right API calls. Really curious to have your thoughts on whether that should be something we'll have to expose as well.


Thank you for sharing this. Really insightful and enlightening.


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