bx-ai-rag
OfficialGround AI answers with your own documents.
Software Engineering#embeddings#rag#knowledge-base#retrieval-augmented-generation#vector-memory#boxlang
Authorortus-boxlang
Version1.0.0
Installs0
System Documentation
What problem does it solve?
RAG systems ground AI responses to a document corpus to reduce hallucinations and keep answers current without model retraining.
Core Features & Use Cases
- Load and chunk documents via aiDocuments for scalable context.
- Generate embeddings with aiEmbed and store them in a vector memory or vector DB for fast retrieval.
- Connect into an agent workflow to fetch relevant context and answer user questions from your knowledge base.
Quick Start
Ingest documents from a directory and instantiate a RAG-enabled agent to answer questions using your knowledge base.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: bx-ai-rag Download link: https://github.com/ortus-boxlang/skills/archive/main.zip#bx-ai-rag Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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