Baseplate

Links and manages data for Large Language Model tasks, enabling efficient embedding, storage, and versioning for high-performance AI app development.
Artificial Intelligence Development Large Language Model Management Multimodal Data Management

Baseplate is built to link together and manage data for Large Language Model (LLM) tasks, with features for efficient embedding, storage and versioning. The tool lets teams create AI apps by linking their data together and setting up high-performance retrieval workflows.

Among Baseplate's features are:

  • Unified Hybrid Database: Store documents, images, text and other data types in a single table.
  • Vector DB Management: Edit vectors through a graphical interface or programmatically, with versioning to avoid data inconsistencies.
  • Multimodal LLM Responses: Use Baseplate's APIs to respond to users with thumbnails, links, sources and other data.

Baseplate's operations are divided into four phases: Connect (linking data through a user interface or programming interface), Configure (customizing embeddings for hybrid search accuracy), Build (prompting LLMs with database data) and Deploy (logging and human feedback with Endpoints). The service handles the complexity of LLM app data so developers can concentrate on creating better AI apps.

For more details, check out Baseplate's website.

Published on June 13, 2024

Related Questions

Tool Suggestions

Analyzing Baseplate...