{"data":{"slug":"gerevai-gerev","name":"gerev","tagline":"AI-powered enterprise search engine","github_url":"https://github.com/GerevAI/gerev","owner":"GerevAI","repo":"gerev","owner_avatar_url":"https://avatars.githubusercontent.com/u/127010246?v=4","primary_language":"Python","stars":2808,"forks":175,"topics":["ai","chatgpt","confluence","enterprise-search","helpdesk","helpdesk-tools","llama-index","machine-learning","search-engine","semantic-search-engine","similarity-search","sysadmin","tech-support","technical-support","vector-search","workplace-search"],"archived":false,"github_pushed_at":"2023-12-29T08:20:26+00:00","maintenance_label":"Dormant","stars_delta_30d":0,"url":"https://www.graphcanon.com/tools/gerevai-gerev","markdown_url":"https://www.graphcanon.com/tools/gerevai-gerev.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/gerevai-gerev","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=gerevai-gerev","description":"🧠 AI-powered enterprise search engine 🔎","homepage_url":null,"license":"MIT","open_issues":26,"watchers":19,"ai_summary":"GerevAI provides an AI-driven solution for efficient enterprise-wide content and knowledge searching suitable for helpdesk support and tech assistance scenarios.","readme_excerpt":"### Nvidia for docker\nInstall nvidia container toolkit on the host machine.\n\n```\ndistribution=$(. /etc/os-release;echo $ID$VERSION_ID) \\\n   && curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \\\n   && curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list\n   \nsudo apt-get update\n\nsudo apt-get install -y nvidia-docker2\n\nsudo systemctl restart docker\n```\n\n---\n\n### Run docker\nThen run the docker container like so:\n\n---\n\n### Nvidia hardware\n```bash\ndocker run --gpus all --name=gerev -p 80:80 -v ~/.gerev/storage:/opt/storage gerev/gerev\n```","github_created_at":"2023-03-05T07:13:14+00:00","created_at":"2026-07-11T11:33:25.144126+00:00","updated_at":"2026-09-20T06:20:41.820425+00:00","categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"}],"tags":[{"slug":"enterprise-search","name":"enterprise-search"},{"slug":"semantic-search-engine","name":"semantic-search-engine"},{"slug":"vector-search","name":"vector-search"}],"trust":{"provenance":{"is_fork":false,"github_id":609769771,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T06:20:39.331Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":995,"last_release_at":null,"stars_delta_30d":0,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:33:26.226Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-20T06:20:40.383Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-09-20T06:20:40.383Z","managed_saas":false},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-09-20T06:20:40.383Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-09-20T06:20:40.383Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-20T06:20:40.383Z"}},"decision_facts":{"hosting":{"model":"self_hosted","summary":"Self-hostable, ensuring full control over the environment in which Gerev operates."},"pricing":null,"requirements":null,"constraints":{"hosting_model":"self_hosted"},"when_to_use":["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."],"when_not_to_use":["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."],"source":"enrich:decision_facts","observed_at":"2026-07-15T08:56:25.361Z"},"constraint_facets":{"hosting_model":"self_hosted"},"decision_summary":[{"label":"Hosting","value":"self hosted - Self-hostable, ensuring full control over the environment in which Gerev operates."},{"label":"Adopt for","value":"GerevAI offers an AI-driven solution for enterprise-wide content and knowledge searching with applications in helpdesk support and tech assistance."},{"label":"License detail","value":"Released under MIT license, allowing broad usage while retaining copyright protections and no warranty guarantees as standard in permissive licenses."}]}}