What is Baseplate
Baseplate is a comprehensive platform designed to facilitate the creation and deployment of AI applications, particularly those leveraging Large Language Models (LLMs). It offers a suite of tools and services that enable developers to connect their data, manage embeddings, and deploy applications efficiently. Baseplate emphasizes high-performance retrieval workflows, version control, and seamless integration with various data types.
Features of Baseplate
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Data Connectivity: Easily connect your data via a user-friendly interface or API, ensuring your data is always synchronized and up-to-date.
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Hybrid Search: Configure custom embeddings for hybrid search, delivering accurate results across different data types and domains.
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App Builder: Prompt any LLM with data from your database and connect search results to a prompt through the intuitive App Builder.
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Deployment: Deploy your app with minimal effort, collecting logs and human feedback using Baseplate Endpoints.
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Unified Hybrid Database: Store and manage various data types, including images, links, and text, in a single, unified database.
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Vector Management: Edit and manage vectors through the UI or programmatically, with built-in version control to prevent stale data and duplicates.
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Multimodal LLM Responses: Utilize APIs to provide users with relevant and reliable responses, including thumbnails, links, and sources.
How to use Baseplate
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Connect Your Data: Start by connecting your data through the Baseplate UI or API.
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Configure Hybrid Search: Set up custom embeddings for hybrid search to ensure accurate results.
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Build Your App: Use the App Builder to integrate search results with LLM prompts.
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Deploy Your App: Deploy your application with a few clicks, setting up endpoints for logging and feedback.
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Manage Your Database: Utilize the unified hybrid database to store and manage various data types, editing vectors as needed.
Pricing of Baseplate
Baseplate offers a free trial to get started, with detailed pricing plans available on their website. Factors affecting the price include the scale of data integration, the complexity of the AI applications, and additional features like custom embeddings and advanced deployment options.
Useful tips for using Baseplate
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Optimize Data Connections: Ensure your data connections are optimized for performance to enhance retrieval workflows.
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Leverage Hybrid Search: Customize your hybrid search settings to best suit the nature and scope of your data.
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Regularly Update Vectors: Keep your vector data up-to-date to maintain the accuracy and relevance of your AI responses.
Frequently asked questions about Baseplate
What types of data can be managed with Baseplate?
Baseplate supports a wide range of data types, including documents, images, links, and text, allowing for comprehensive data management and retrieval.
How does Baseplate ensure data synchronization?
Baseplate handles embedding, storage, and version control, ensuring that your data is always in-sync and up-to-date, minimizing the risk of stale data or duplicates.
Can Baseplate be integrated with existing AI models?
Yes, Baseplate is designed to work with various Large Language Models (LLMs), enabling seamless integration with existing AI models and enhancing their functionality.
What deployment options does Baseplate offer?
Baseplate offers straightforward deployment options, allowing you to deploy your app with just a few clicks and manage logs and feedback through Baseplate Endpoints.