What is Singlebase?
Singlebase combines a database and backend platform for teams building AI agents and applications. It provides agents with scoped access to project data, tools for searching and working with documents, and a shared data foundation for apps. Builders can also add user identity, file storage, and embeddable website components; monthly plans start at $9.
Singlebase Features:
Scoped Agent Access: Set permissions for each agent by choosing which project data it can access and which operations it can perform.
MCP Connections: Connect agent runtimes through MCP to discover collections, search and update documents, and return answers with sources.
Data Search: Use vector similarity search to find records by meaning, alongside full-text search for names, phrases, and keywords.
Document Extraction: Use OCR and language models to convert PDFs, office files, images, text, and CSV into Markdown or structured JSON.
Document Chat: Ask questions about documents and explore answers grounded in their content through a conversational interface.
Backend Components: Add sign-up and sign-in, file uploads, or document chat to a website with embeddable components.
Singlebase Benefits:
Shared Data Foundation: Keep agent context and application records on the same platform instead of maintaining separate data stores for each.
Controlled Access: Limit an agent's reach to the data and operations it needs, giving builders a way to manage its permissions.
Useful Document Content: Make information in varied files available in formats that agents and applications can search and use.
More Relevant Retrieval: Combine meaning-based and keyword search to retrieve context suited to both broad questions and precise lookups.
Faster App Building: Build on included database, identity, storage, and website components rather than assembling those backend pieces separately.
Use Cases:
Product Catalog Agent: Store product descriptions and searchable attributes so a shopping agent can retrieve relevant items for customer requests.
Internal Knowledge Assistant: Create a document-based knowledge base that an agent or app can search to answer questions with sources.
Document Intake: Extract text and structured fields from receipts, screenshots, and office documents for use in an agent workflow.
Website Document Chat: Embed a chat box on a website so visitors can ask questions about the documents behind a service or product.
Agent-Enabled Application: Build an app where agents work with project records while users sign in and upload files through the same backend.