Comment by Vasyl_R | Hacker News Reader

Comment by Vasyl_R | Hacker News Reader

Hey Everybody!

We are super stoked to announce present you IngestAI today. It is the fastest way to build contextually intelligent ChatGPT-like bots within your own WhatsApp, Slack, or Discord to answer queries from your knowledge base, documentation, or educational materials.

IngestAI is a very useful tool for a diverse range of businesses that have company knowledge base or customer support. IngestAI can save their money, providing precise and relevant answers about your product 24/7.

You can upload your technical documentation as well as information from previously resolved support tickets, educational program content, ecommerce products description or any other information relevant to your business case.

Key Features:

1. Flexibility: IngestAI have different file formats supported for uploading, like txt, MS Word, PDF, Excel, and many come to come very soon.

2. Other types of uploading that IngestAI currently support is URL links and integration with Notion and Confluence comes in March’23.

3. Built for global community: Integration with Sack, Discord, Telegram; 2/24 release: WhatsApp; 2/25 release: API (means integration with Shopify, Etsy, Magento, etc or even integrate with your custom CRM/ERP); March’23 release: MS Teams and Facebook Messenger.

4. AI first: IngestAI is harnessing the power of OpenAI to provide precise AI-generated answers relevant to the uploaded context

5. Customizable: go beyond simple queries using IngestAI prompt templates – use ones we have pre-made, edit any of them to your needs, or create a new from scratch.

For enterprise clients willing to use IngestAI with sensitive information we offer possibility to store all the information locally on-site or own AWS S3 Cloud Storage.

Please join our community: Discord : https://discord.gg/kMpbueJMtQ Twitter : https://twitter.com/ingestaiio

Docs: https://ingestai.io/docs

We would be happy to hear your feedback. Hope you love it! Team IngestAI

Would be cool to know some technical details, like are you fine-tuning GPT-3 on Open AI or built something yourself on top of an open source pretrained model?

Hey there, you're welcome to our Discord server: https://discord.gg/kMpbueJMtQ - we do share some technical details there and we also share our daily progress in our #updates channel. Have you heard of LangChain ?

First time I hear about it, but just checked it out - seems pretty cool, but you still need to feed some model into it right? Many examples seem to use OpenAI.

I see a bunch of apps using LLMs popping out like mushrooms in a forest, but how do you fine-tune it for your dataset? The biggest (GPT-3 davinci) model on OpenAI is not available for fine-tuning.

thanks! We tried to do is as simple as possible from the users perspective. You just upload your knowledge base, create a Slack / Discord or other bot and start using it. And sure, we use OpenAI too. Yes, your're right - we use Davince model and then use use LangChain and other approaches that we're exploring to compare performance of different approaches. Have you heard about LangChain?

I see a Notion example in Langchain, I assume you guys did something similar. Do you know if there is maximum size of documents that it supports?

yes, we can say it's something similar) Do you mean the maximum size our app supports? Currently we support files in different formats but with 10Mb size limit.

Anyone care to recommend some open source options?

I've read about GPT-J, GPT-NEO, Bloom. Understanding they aren't as effective/intuitive as Open AI's stuff but unlike OpenAI, they are actually open.

That is a good point that you have brought up.

We plan to be agnostic of underlying LLMs as ecosystem matures.

Really nice, congrats on the launch. I wonder how safe are my confidential information with your thing?

We use AWS for both servers and storage.. How secure would you call AWS ?

Depends on the application being hosted.

Also: https://firewalltimes.com/amazon-web-services-data-breach-ti...

Is my slack stored in plain text on your AWS server?

we don't store conversations at all for the moment. I mentioned that in previous comments too. That's something some people ask, but we don't have 'conversation memory' for the moment))

Are you using Private channels and 1:1 chats as training data?

prompt: "what do my employees really think about me?"

that would be a good one :)) That's why we don't add chat memory for the moment :)))

thant's somehting I mentionned in some of my previous answers- this can have both positive and negative impact on the contextual intelligence of your bot, so we're now playing around with that and trying to see if that doesn't have any negative impact on the context-awareness. Do you believe chat-memory incorporation into the context it's something people would need?

hey, we are not learning from slack history. The Slack bot takes your knowledge base as the input (markdown, docs etc) and answers the queries asked by the user.

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