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Developer builds ORAG platform for organizational RAG and AI agent data access

By PulseAugur Editorial · [2 sources] ·

Anmol Sharma has developed ORAG, a platform designed to make internal organizational data accessible and usable for AI agents. The system addresses the challenge of providing AI with relevant, trustworthy, and permissioned context by implementing a Retrieval-Augmented Generation (RAG) pipeline and a Model Context Protocol (MCP) server. ORAG integrates with various data sources like Notion and GitHub, offers role-based access control, and aims to solve the context problem rather than the model itself. AI

IMPACT Provides a standardized context layer for AI agents, potentially simplifying enterprise AI deployments.

RANK_REASON Developer releases a new platform for AI agent context management.

Read on Medium — MCP tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Developer builds ORAG platform for organizational RAG and AI agent data access

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Developer releases a new platform for AI agent context management.
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product, infra
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152 days old
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COVERAGE [2]

  1. dev.to — MCP tag TIER_1 English(EN) · Anmol Sharma ·

    I built ORAG - an organizational RAG and MCP platform in TypeScript

    <p>I spent the last couple of days building something I kept wishing existed</p> <p>A platform that takes your organization's internal data such as docs, wikis, databases and makes it actually usable by AI agents.</p> <p>The result is <strong>ORAG</strong>, an organizational RAG …

  2. Medium — MCP tag TIER_1 English(EN) · Anmol Sharma ·

    I built ORAG - an organizational RAG and MCP platform in TypeScript

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@anmol20102005/i-built-orag-an-organizational-rag-and-mcp-platform-in-typescript-19d9ce7b4b38?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/1920/1*oOWLLigvot-0DCUyg-ictA.…

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