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Open-source PROJECT JAMES offers secure, local Graph-RAG engine

By PulseAugur Editorial · [1 sources] ·

A new open-source project called PROJECT JAMES has been released, aiming to provide a locally-runnable Graph-RAG knowledge engine. It emphasizes security through a multi-layered access control system and an explicit ontology, drawing inspiration from Palantir Foundry's architecture but designed for individual laptop use. The engine integrates hybrid search methods and a graph traversal that is sensitive to user roles and data sensitivity, preventing unauthorized access to information. AI

IMPACT Provides developers with a secure, locally-runnable Graph-RAG engine, addressing privacy concerns with cloud-based solutions.

RANK_REASON The cluster describes a new open-source project release that provides a specific tool for developers, rather than a core AI model release or significant industry-wide event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Open-source PROJECT JAMES offers secure, local Graph-RAG engine

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0 / 100
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Tool
The cluster describes a new open-source project release that provides a specific tool for developers, rather than a core AI model release or significant industry-wide event.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra, other
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High
Clearly on-topic for AI-industry coverage.
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112 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Hashevolution ·

    Building a Mini Palantir: A Local Graph-RAG Engine with Ontology, Security, and Self-Evolution (Alpha)

    <blockquote> <p><strong>TL;DR</strong><br /> <a href="https://github.com/Hashevolution/James-RAG-Evol" rel="noopener noreferrer">PROJECT JAMES</a> is a security-focused, locally-runnable Graph-RAG knowledge engine in Python. It combines an explicit 12-type ontology, 3-stage acces…

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