Retool AI
retool.com
Retool AI
1–10 of 80 posts
Re: Retool AI
#2We've been using the ChatGPT API from Retool Workflows (for spam detection) and it's been valuable for our business. The built-in vector DB looks interesting
Re: Retool AI
#3Nice. Would it be fair to say this is directly competitive with Zapier in terms of creating AI-powered workflows?
Re: Retool AI
#4We hear about Retool here more than once a month, is there a new development we are to learn about today?
Re: Retool AI
#5We've been using the ChatGPT API from Retool Workflows (for spam detection) and it's been valuable for our business. The built-in vector DB looks interesting
How does the spam detection work? Does chat gpt output something that your application can understand, like {isSpam: true}, or does it output a sentence in english?
Re: Retool AI
#6Nice. Would it be fair to say this is directly competitive with Zapier in terms of creating AI-powered workflows?
Not directly imo. Zapier focus is still on workflow automation and retool is on internal tools. This directly competes with a bunch of startups that recently launched including an open-source project we put out a few weeks back (https://github.com/trypromptly/LLMStack)
Re: Retool AI
#7We hear about Retool here more than once a month, is there a new development we are to learn about today? https://news.ycombinator.com/from?site=retool.com
It looks like this is a new product they're launching today: https://techcrunch.com/2023/09/07/low-code-platform-retool-m...
Re: Retool AI
#8We've been using the ChatGPT API from Retool Workflows (for spam detection) and it's been valuable for our business. The built-in vector DB looks interesting
How does the spam detection work? Does chat gpt output something that your application can understand, like {isSpam: true}, or does it output a sentence in english?
With functions you can simply teach it to call a function with a score.
Re: Retool AI
#9We've been using the ChatGPT API from Retool Workflows (for spam detection) and it's been valuable for our business. The built-in vector DB looks interesting
How does the spam detection work? Does chat gpt output something that your application can understand, like {isSpam: true}, or does it output a sentence in english?
It outputs both - { isLikelySpam: boolean, reason: string }
Then we have an inbox app (also made in Retool) that our support team uses to manually review any submissions that are isLikelySpam = true. The helps to understand why it was flagged.
Our use case is for a form builder (https://fillout.com) but I imagine this type of use case is pretty common for any app that has user-generated content
Re: Retool AI
#10Hi all, eng who worked on vectors @ Retool here. We’re excited to get HN’s feedback on a new product I’ve been working on: Retool vectors. There’s been a lot of hype around AI, but as I was thinking about what we could launch, there were really very few AI apps that are today _actually_ delivering business value. For example, there are tons of chatbots, summarization bots, etc., but it wasn’t clear how to use them. There were bots that we could use for answering support tickets (we use Intercom), but when we tried using them, the results were far worse than expected (it only managed to close ~5% of our tickets, and required substantial human intervention).
I then tried building a custom AI chatbot for our support team, powered by a vector database (with previous answers, our docs, and community forum data). In my prototypes, the successful response rate was much higher (around 5 - 7x higher, ~30%). But it was surprisingly hard to build this bot: I needed to stitch together vector databases, custom integrations with Intercom, cronjobs to sync data, etc.
That’s why we built Retool Vectors. The idea is that we want to build a vector database that has full ETL from whatever inputs you have (e.g. Intercom, a postgres database, Salesforce, a community forum, a website, etc.). It’s always kept up to date. (We’re still working on some of these features, but I decided to try and launch this week because I just wanted to get feedback from HN, haha.) I think the industry has now settled on vector databases as the best way to provide context to LLMs. I hope that Retool Vectors can be a much easier way of getting data into it.
If you have any feedback please let me know!