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VectorShift: No-Code AI Automations Platform

Build AI assistants and workflow automations in no-code.

Albert Mao
VectorShift
 
https://www.vectorshift.ai
#ai#no-code#generative_ai#infrastructure#developer_tools

VectorShift is a no-code AI automations platform. Teams leverage AI through VectorShift’s no-code interface to search through knowledge bases, automate workflows, and deploy AI chatbots and assistants without needing to code or having knowledge about AI.

https://www.youtube.com/watch?v=t18ySXNDYvs

VectorShift Platform

Through drag-and-drop components, VectorShift’s no-code builder allows you to:

  • Use a flexible “visual programming language” to prototype, build, deploy, and manage LLM apps.
  • Allow AI workflows to leverage a knowledge base with your data (e.g., files, documents, website). Knowledge bases can live-sync with your data wherever it sits (e.g., Google Drive, OneDirve, Notion, etc.).
  • Define triggers that automatically run workflows (e.g., Slack message / Email) and allow workflows to perform actions (e.g., write a notion document).
  • Place interfaces on workflows that you build (e.g., chat, forms, search engine, bulk runs, voice, etc.).
  • Maintain enterprise-grade security - VectorShift is SOC2 Type 2, GDPR, and HIPPA compliant.

Enterprise Search Product Launch

Today, VectorShift launches its unified Enterprise search product. Connect to all your team’s tools (e.g., Google Drive, Notion, Slack) for a single place to securely search/chat with your documents.

With VectorShift, you can:

  1. Choose your preferred LLM model provider or leverage your own.
  2. Live-sync with your data wherever it sits. VectorShift will automatically transform, optimize, and enhance your data based on source and type (e.g., PDFs, tabular data, images, etc.) to significantly improve retrieval accuracy.
  3. Granularly site all answers generated by AI with 1) document source/type, 2) chunks used, and 3) page numbers/sheet names.
  4. Utilize advanced retrieval methods - e.g., re-ranking, hybrid search, advanced data extraction/processing models, metadata filtering, and query optimization.
  5. Leverage enterprise-grade permissioning to deploy the AI search engine directly to your organization.

Step 1: After connecting all your data in a knowledge base, fully customize the interface with your branding.

Step 2: Securely search and ask questions to all your data in one place.

Step 3: Deep dive into results by chatting with retrieved documents.

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 and revamp the GTM motions and products of multiple enterprise software companies.

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