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SinglebaseCloud

Backend that lets AI agents and apps share one data foundation: a document database, vector and full-text search, identity, file storage and document tools.

Vector databases & RAG
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What it does

Singlebase is a backend platform in which AI agents and ordinary applications work from the same data. It combines DocumentDB for flexible records, a vector database for similarity search by meaning, and full-text search for exact names and phrases, with a hybrid option. Beyond the database it offers identity (sign-up, sign-in and access control), storage for files and generated content, and model access that the site lists for providers including OpenAI, Anthropic, Google, Qwen, Llama and DeepSeek. Document tools include DocsIQ for building a knowledge base from documents, Data Lens for exploring data, Chat with Documents and Document to Markdown. Embeddable web components cover an auth widget, a file uploader and a chat box for a website. The site shows its JavaScript SDK querying a collection, says the platform is built for JavaScript, Python, PHP and REST API, and lists four monthly plans.

Capabilities

  • DocumentDB for agent context and application records
  • Vector similarity search and full-text search over the same data
  • Identity and storage for user sign-in and generated files
  • Document tools: DocsIQ, Data Lens, Chat with Documents, Document to Markdown
  • Embeddable auth widget, file uploader and chat box
  • JavaScript SDK, with Python, PHP and REST API support

When to use it

  • Giving an AI agent searchable context stored alongside your app's own data
  • Adding search by meaning to product, knowledge or support records
  • Building a site assistant that answers from uploaded documents