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Building VectorShift (YC S23) - The No-Code AI Automations Platform | Ex-McKinsey | Statistics @ Harvard
Since starting up, I have learned that everything is in execution. Today, we 🚀launch 🚀 one of the largest VectorShift product updates yet! See below what we cooked up just in the last few weeks: 1. Version Control: Revert back to a previous deployed version of a pipeline. This is helpful if you made changes to a pipeline that you do not want. 2. Auto-Saving: pipelines will auto-save - never lose your progress again! 3. Multiplayer Mode: work on a pipeline together with teammates and see changes updated live (e.g., new nodes, new connections). Automatically enabled for all accounts. 4. Offline Mode: Continue to edit pipelines if you lose internet connection. When your computer gets access to internet again, the pipeline will save. 5. Search Interface: place a search interface on a pipeline or knowledge base. Do so within the pipeline builder (Deploy >> Search) or on the new “Search” tab. 6. Enhanced CSV reader: we made significant accuracy improvements in the ability to query over tabular data. Utilize the CSV query node under the “Data Loader “ tab. 7. Dropbox: live-sync with your dropbox and leverage the data in your AI workflows. 8. One Drive: live-sync with your OneDrive and leverage the data in your AI workflows. 9. S3: live-sync with your S3 storage and leverage the data in your AI workflows. 10. Confluence: live-sync with your Confluence knowledge base and leverage the data in your AI workflows. 11. Slack (private channels): in addition to public channels, live-sync with data from Slack private channels and leverage the data in your AI workflows. 12. Zapier / Make nodes: have a pipeline run a Zapier / Make.com workflow. 13. Zendesk: search tickets, create new tickets, and trigger a pipeline with a new Zendesk ticket. 14. Notion (create new block): add text to an existing Notion page. 15. Postgres: connect and query your Postgres database. 16. Pinecone: connect and query your Pinecone database. 17. Re-scrape URLs: when loading URL data into a knowledge base, define how often you want the data to be re-scraped and re-embedded. This will ensure the data is fresh. 18. Citations: Enable LLM to site sources in the output (URLs and files). Access by clicking on the gear on an LLM. 19. Significant improvements to chatbots: Overall UI improvements, edit display details, add assistant / launcher / avatar image, enable AI generated follow up questions, copy and download responses 20. Map Node: map a function to transform input data to output data. You can find this node under the “Logic'“ section of the No-Code builder. 21. LLM function calling: provide LLM access to tools (LLMs will have a handle called “Tools”). If the LLM deems it is necessary, it will leverage the tool in product output. We have built this with full flexibility - you can connect anything to the tool handle (e.g., web search, calling an API, etc.). 22. New Models: Anthropic Claude 3, Gemini 1.5 pro, Cohere Command-r and Command-r plus
Wow, this is an impressive update, The addition of version control and auto-saving will definitely make pipeline management much easier and efficient. I also appreciate the new multiplayer mode, which will allow for seamless collaboration among team members. The integration with various platforms such as Dropbox, OneDrive, and Confluence is a great feature, making it easier to access and utilize data in AI workflows. The enhanced CSV reader and map node are also exciting additions that will enhance data processing capabilities.
Wow, what a huge update! 🚀 The VectorShift team has really outdone themselves with this release. From version control and auto-saving to offline mode and live-syncing with Dropbox, OneDrive, and more, it’s clear a lot of thought went into enhancing the user experience. I’m particularly excited about the new multiplayer mode and the improvements to chatbots—these features will make collaboration and interaction even smoother. The addition of LLM function calling and new models like Anthropic Claude 3 and Gemini 1.5 pro is impressive too. Can't wait to dive in and explore all these new capabilities! 🚀🙌
Albert Mao Thanks for this amazing update! I;m sure you and your team have been hard at work. Do you mind if I ask if there are there any plans to expand citation capabilities to handle more complex data sources or formats? Also, how do the new chatbot improvements handle multilingual support and context switching? Phenomenal work, again!
Agradecimento por compartilhar
Huge list! Congrats!
Super helpful feature!
Albert Mao amazing work bro!!!! 🔥🔥🔥
Very cool congrats!
Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
6moThe recent VectorShift product update you detailed showcases an impressive array of features designed to enhance user experience and productivity. It's reminiscent of the evolution seen in software development tools over the years, where innovations continually refine the process of building and managing pipelines. However, with such a comprehensive suite of functionalities, how do you ensure seamless integration and user adoption across diverse teams with varying levels of technical expertise? Additionally, considering the dynamic nature of AI workflows, how do you prioritize feature development to align with emerging industry trends and user feedback?