With Bind, you can create AI assistants and LLM powered API workflows. Leverage multiple LLM models, create knowledge base embeddings with your own data, and connect with external plugins for AI Agent actions.
👋 Hello Product Hunt!
I'm Amogh, one of the makers of getBind.co, and thrilled to publicly launch our beta!
Bind allows you to easily create smart LLM applications or APIs by connecting your internal data and external plugins. Think of this as Zapier for LLMs.
Imagine connecting your salesforce instance to create an SFDC assistant for your sales team, or trigger an email notification based on an LLM action.
There are dozens of models, new libraries and ways to create these applications. It’s hard to keep up, by the time you write code, there’s a new better way to do it. Bind takes care of all of that, and allows you to build business-impacting applications. It’s better than relying on OpenAI for everything, or doing everything from scratch with LangChain.
Who will find this useful?
- Internal teams such as Sales, Support, Marketing, Content who typically don't have dedicated engineering teams
- Development teams can use it for A/B testing their LLM configuration and quickly testing with their knowledge bases
- Teams who want to replace expensive APIs for data parsing etc and replace it with LLM powered experiences or APIs.
Why is this different from other builders and GPTs?
1. Bind will be your playground for creating text, image, voice based applications using open source and paid models.
2. Built-in AI Agents which can automatically trigger actions or retrieve data from external applications. This is what makes AI most useful beyond simple information retrieval.
3. We offer private instances for enterprises which are hosted on your AWS/Azure. Including hosted open source fine-tuned models.
4. You can use the library of applications created by others.
We're starting with LLM text models, and will soon offer ability for image generation, voice-to-text and other models.
Here's an example: Yoda GPT - Created with Bind. Thank me later ;)
https://app.getbind.co/webbot/65...
Would love to learn how you are building your applications now, and also please share feedback on Bind!
For enterprise applications, please request a demo on our website.
I think this is a really interesting product - as a Data Engineer, I spend much of my time "plumbing" data integrations and I have been experimenting with using Bind to help with these efforts. The progress so far has been promising and I'm excited to keep working with Bind as it has already helped me quite a bit.
@robenised92 There isn't a physical limit as such for uploading, we chunk the data and create embedding for Knowledgebase. That said, if you have large amount of data, upload is not the ideal way, we're working on an S3 ingestor and direct integrations to more easily pull the data. It's a free version currently, so we're monitoring the query volume for models. For high volume use cases we have subscription pricing.
And yes, of course we provide support. Please drop me a note if you have a use case and we can partner up!
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@click_amogh For my real estate investment product, I need a service that can quickly and AI-basedly analyze real estate documents and provide results to customers. Let's call it a brief summary of assets/properties.
With other services, I've had issues where document analysis of 10-150 pages took up to an 1 hour. How long would it take for your service to process such a volume of data?
@robenised92 If its 10-150 pages, it shouldn't really take more than a few minutes to setup a custom application on Bind and upload that data. Once that data is added to knowledge base, you can deploy it as a conversational assistant, and ask questions about the document.
Here's a relevant application built using Bind for uploading SEC/Financial data and getting insights on top of that.
https://medium.com/@getbind.co/c...
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Big props to Bind for enabling seamless connections between Salesforce, Intercom, and internal databases to create AI Assistants. These assistants provide valuable insights and answers from customer data, streamlining tasks like lead generation and data extraction.
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