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gerev

GerevAI/gerev

AI-powered enterprise search engine

GitHub

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

64views this month

2.8k stars175 forksLast push Dec 29, 2023 Python MIT

Decision brief

GerevAI offers an AI-driven solution for enterprise-wide content and knowledge searching with applications in helpdesk support and tech assistance.

Good fit when

If your organization needs efficient search capabilities across various technical documents, leveraging AI to provide quick resolutions in tech support scenarios, Gerev is suitable.
For businesses that require integration with other AI technologies like Confluence or Llama Index for comprehensive internal documentation retrieval.

Avoid when

If your organization prefers open-source tools without proprietary AI-driven functionalities, consider alternatives as Gerev may not align with purely open-source preference.
In cases where the specific integrations provided by competing solutions are more aligned with existing enterprise tools beyond Confluence and Llama Index.

Hosting:: self hosted - Self-hostable, ensuring full control over the environment in which Gerev operates.

Observed Jul 15, 2026 · Source: enrich:decision_facts

gerev alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Dormant (995d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install gerev

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

GerevAI provides an AI-driven solution for efficient enterprise-wide content and knowledge searching suitable for helpdesk support and tech assistance scenarios.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
Languages: python
Source: github.language · Sep 20, 2026

README

Nvidia for docker Install nvidia container toolkit on the host machine. Run docker Then run the docker container like so: Nvidia hardware

For agents

This page has a .md twin and JSON over the API.

/tools/gerevai-gerev.md GET /api/graphcanon/tools/gerevai-gerev GET /api/graphcanon/graph?tool=gerevai-gerev