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Turbine is an innovative, fully-managed data pipeline designed to enhance LLM (Large Language Model) applications by providing rich and up-to-date context. It offers seamless integration with data sources like S3, PostgreSQL, and MongoDB, and supports external embedding models and vector indexes such as Pinecone, Milvus, OpenAI, and HuggingFace. With extensive configurability, scalability, real-time database syncing, and ease of use, Turbine empowers businesses to optimize data handling and improve AI bots' performance.
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Fully-managed data pipeline
Seamless integration with data sources
Supports multiple embedding models and vector indexes
Extensive configurability
Real-time database syncing
Fast and scalable data handling
Intuitive UI and easy setup
Advanced data engineering pipelines
Modern distributed stream-processing platforms
Continuous future integrations
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Efficiently sync database changes in real-time using advanced data engineering pipelines.
Integrate Turbine with LLM applications to provide rich, up-to-date context.
Elevate AI bots' performance by using a fully-managed and configurable data pipeline.
Seamlessly connect existing data sources like S3, PostgreSQL, and MongoDB to Turbine.
Use custom embedding models and vector indexes with Turbine for enhanced data processing.
Quickly scale data operations with Turbine's modern distributed stream-processing platforms.
Leverage Turbine's configurability to optimize data workflows for analytics.
Implement a robust and scalable data pipeline to improve AI and machine learning initiatives.
Utilize real-time data syncing to ensure up-to-date information across applications.
Easily get started with Turbine using its intuitive UI or a single HTTP POST request.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.