Documentation Index
Fetch the complete documentation index at: https://docs.jabrod.com/llms.txt
Use this file to discover all available pages before exploring further.
Introduction
Welcome to Jabrod — a comprehensive AI workspace designed to accelerate the development of intelligent applications. As we establish our foundational ecosystem, our inaugural live offering focuses exclusively on enterprise-grade Retrieval-Augmented Generation (RAG) capabilities, with a broader suite of AI tools on the horizon.What is Jabrod?
Jabrod serves as a robust infrastructure platform for engineering teams. At present, our platform provides a sophisticated backend tailored specifically for Retrieval-Augmented Generation (RAG). It seamlessly handles the complexities of document chunking, embeddings, vector database management, and semantic retrieval, enabling you to focus on building high-impact applications.RAG Pipelines
Configure chunking strategies, embedding models, and vector stores for your use case.
Data Sources
Upload files, provide text, or link URLs to build your knowledge base.
API Keys
Generate secure, scoped API keys for each pipeline to use in your applications.
Semantic Search
Query your pipelines with natural language to retrieve highly relevant context.
Getting Started
Quick Start
Learn how to create your first pipeline and run a query.
API Reference
Explore the REST API documentation for programmatic access.