VectorShift is an AI automation platform. Teams leverage AI through VectorShift’s no-code interface or Python SDK to search through knowledge bases, generate documents, and deploy chatbots and assistants. We give all organizations the ability to build enterprise-grade AI applications.

VectorShift Platform

Through drag-and-drop components, our no-code builder allows you to:

• Connect different nodes like LLMs, data loaders, vector databases, and more.
• Create a knowledge base of your data (e.g., CRM, Notion database, files) or live sync with your data sources to leverage within AI pipelines.
• Create automations that trigger the running of pipelines (e.g., Slack message / Email) and allow pipelines to perform actions (e.g., write a notion document).
• Deploy your pipeline through a chat interface with just a few clicks. Share chat assistants internally, or export to end-users via URL, WhatsApp / SMS, or API.

What are real examples of companies using VectorShift in production?

• A startup uses VectorShift to power the “backend” of their AI product features.
• A European conglomerate uses VectorShift to automate report writing for clients.
• A professional services firm for the US government uses VectorShift to automate sales proposals and search through their contract library to answer queries.
• A healthcare education company uses VectorShift to create a chatbot to answer patient questions leveraging their extensive knowledge base.
• A large technology company built an internal support assistant to answer questions about employee policies.

And much more…

To name a few: document analysis, scoring resumes, drafting patents and legal documents, and automatically sending personalized outbound emails.

Python SDK Launch

In building our initial product line, users requested a way to interface with our platform through code, so we’ve built a Python SDK for working with our various product lines. Now, you can access functionality present in our no-code platform directly through your IDE. Using the SDK, you can:

• Fetch, edit, save, and run your pipelines and chatbots. Run your AI workflows and use your preferred version-control system to work with your VectorShift-managed AI pipelines in code.
• Load and query your vector stores, and add new indices to index your data.
• Work with any connected integrations, like Notion, OneDrive, Slack, etc.

Any changes you save through the SDK will automatically update in the no-code platform so you can enjoy complete interoperability between the two interfaces. You can view the documentation for our SDK here: https://docs.vectorshift.ai/vectorshift/developers/sdk/getting-started

About Us:

Alex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.

Albert Mao: BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies.

The Ask:

• Try VectorShift: http://www.vectorshift.ai/
• If you are interested in discussing further, book a demo with us here: https://calendly.com/albert_mao/vectorshift-intro-chat. We are always happy to help iterate with you on use cases!