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Endigest AI Core Summary
This article describes how Grab's internal AI platform SpellVault evolved from a no-code LLM app builder into an agentic AI platform capable of reasoning and acting dynamically.
•SpellVault started as a RAG-based no-code app builder with plugin support, enabling thousands of internal apps for productivity and automation.
•The platform expanded with integrations for Slack and Kibana, citation capabilities, Python runtime for math problems, auto-updating Knowledge Vaults, and a Task Scheduler feature.
•A drag-and-drop Workflow interface was added to let users design deterministic workflows combining LLM calls, Python execution, and Knowledge Vault lookups.
•The execution model shifted from a legacy executor to a graph-based executor supporting branching, looping, and ReAct agent behavior for all existing apps.
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Deep Research capability was introduced enabling search across internal repositories (Slack, Wiki, Jira) and the web, with internal features repositioned as autonomous LLM-us
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Grab
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