SurrealDB plugs seamlessly into your favorite ecosystem - from LangChain-powered LLM flows and CrewAI agents to Dagster pipelines and Feast feature stores. With ready-made adapters, SDKs, and plugins, integrating SurrealDB takes minutes, freeing you to focus on building, not boilerplate.
Airbyte integration for data pipeline orchestration and ETL workflows with SurrealDB as a destination.
Dagster integration for orchestrating data pipelines and workflows with SurrealDB as a data store.
Fivetran integration for ETL and data pipeline automation with SurrealDB as a destination.
N8N integration for workflow automation with SurrealDB nodes for data processing and API management.
Unstructured integration for processing and analyzing unstructured data with SurrealDB.
Managed SurrealDB service with automatic scaling, backups, and enterprise-grade reliability.
Official Docker images and containerization support for easy SurrealDB deployment and scaling.
Kubernetes operators and manifests for production-grade SurrealDB deployment and orchestration.
AWS integration with CloudFormation templates, Lambda functions, and managed services support.
Google Cloud Platform integration with Terraform modules and Cloud Run deployment support.
Microsoft Azure integration with ARM templates and Azure Container Instances support.
AWS Bedrock integration for using AWS Titan embeddings for semantic search with SurrealDB.
Anthropic Claude integration for advanced AI reasoning and database query optimization.
Google Gemini integration for generating embeddings with Google's Gemini models for semantic search.
Hugging Face transformers integration for custom AI models and machine learning workflows.
Jina embeddings integration for multimodal AI applications and semantic search with SurrealDB vector storage.
Integration with Meta's Llama models for AI-powered database operations and natural language queries.
Integration with Mistral AI models for advanced natural language processing and database interactions.
Mixedbread integration for building AI applications with SurrealDB as a data store and knowledge base.
Nvidia integration for GPU-accelerated embeddings and AI model inference with SurrealDB vector search capabilities.
Ollama integration for local embeddings and specialized models with SurrealDB vector search for niche applications.
OpenAI embeddings integration for powerful text embeddings and semantic search capabilities.
Together AI integration for open-source AI models and collaborative machine learning workflows.
Upstage Solar integration for dual-encoder embeddings and 4096-dimensional vector search with SurrealDB HNSW indexes.
Voyage AI integration for state-of-the-art sentence embeddings and 1536-dimensional vector search with SurrealDB.
Astro integration for building fast static sites with SurrealDB as a content management system.
CAMEL integration for developing autonomous AI agents with SurrealDB as a knowledge base.
CrewAI integration for autonomous AI agents that can interact with SurrealDB for data operations.
DeepEval integration for evaluating and improving AI models with SurrealDB as a data backend.
Dynamiq integration for building dynamic AI applications with SurrealDB as a data backend.
Feast integration for building and managing feature stores with SurrealDB as a high-performance feature repository for machine learning applications.
Google Agent integration for AI-powered automation and intelligent data processing workflows.
LangChain integration for building AI applications with SurrealDB as a vector store and knowledge base.
Llama Index integration for building RAG pipelines with SurrealDB as a vector store.
Netlify integration for JAMstack applications with SurrealDB backend and serverless functions.
SmolAgents integration for creating lightweight AI agents with SurrealDB as a knowledge base.
Vercel integration for serverless deployment of SurrealDB applications with edge functions support.
The ultimate cloud-native database for tomorrow's applications