Introducing LangDrive: A library to store, access, and manage your AI data directly from your users' existing google drive, ensuring unmatched privacy and control. With the power to directly call major LLMs.
Train 50+ AI models with your Google Drive content instantly
Introducing LangDrive: A library to store, access, and manage your AI data directly from your users' existing google drive, ensuring unmatched privacy and control. With the power to directly call major LLMs.
Hi PH! I'm Michael, one of the makers of LangDrive. I'm thrilled to introduce you to LangDrive, a tool that's set to redefine how we approach AI development and data privacy. Have you ever hesitated to experiment with a new AI tool because you were worried about data security? That's exactly why we created LangDrive—to ensure your data stays right where you host it, giving you peace of mind 🔒 Why LangDrive? We built LangDrive in response to a specific need: @charles_karpati and I run Addy AI - a
HI ProductHunt! When my colleague @michael_vandi showed me what he was up to with LangDrive, I immediately saw the potential for how it can be so useful for startups (or even larger companies). IMHO the era of "we have collected all this data, what should we do with it?" is rapidly coming to an end thanks to products like these and other generative AI technologies. Great job by this awesome team: @kate_white1, @michael_vandi and @charles_karpati!
I didn't realise that this was even possible, really useful. Congrats on the launch!
It's inspiring to see such exciting advancements in AI. Well done on the launch!
This is very useful for some enterprise usecases I am looking at. With llama2. Congrats on the launch!
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.