# LightRAG vs Ragas

**Leader by vioscaleAI score:** LightRAG

| Attribute | LightRAG | Ragas |
|---|---|---|
| **vioscaleAI score** | 61.7 (53% (medium)) | 54 (32% (low)) |
| activity.commits_last_30d | 100 | - |
| adoption.dependent_repos | 0 | 1 |
| adoption.github_stars | 40,136 | 15,838 |
| content.faq | `[{"answer":"A lightweight RAG system that processes documents through flexible parsing engines and supports local deployment of embedding, reranking, and storage backends. Includes built-in citation attribution and can work with various open-source LLMs and embedding models. It is indexed under RAG Tools.","source":"https://github.com/pricing","question":"What is LightRAG?","confidence":0.6},{"answer":"LightRAG supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://github.com/pricing","question":"What platforms does LightRAG support?","confidence":0.6},{"answer":"Yes. LightRAG can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://github.com/pricing","question":"Can LightRAG be self-hosted?","confidence":0.6},{"answer":"Yes. LightRAG is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/HKUDS/LightRAG","question":"Is LightRAG open source?","confidence":0.95}]` | `[{"answer":"A Python-based framework that evaluates RAG applications through automatic metrics covering faithfulness, relevance, and recall. Includes tools to synthetically generate test datasets customized for specific use cases, enabling developers to assess LLM application performance at both component and end-to-end levels. It is indexed under RAG Tools.","source":"https://ragas.io","question":"What is Ragas?","confidence":0.6},{"answer":"Ragas is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://ragas.io","question":"Is Ragas free to use?","confidence":0.6},{"answer":"Ragas supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://ragas.io","question":"What platforms does Ragas support?","confidence":0.6},{"answer":"Yes. Ragas can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://ragas.io","question":"Can Ragas be self-hosted?","confidence":0.6},{"answer":"We have confirmed 3 integrations for Ragas, including LlamaIndex, LangSmith and OpenAI. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://ragas.io","question":"What does Ragas integrate with?","confidence":0.6},{"answer":"Yes. Ragas is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/vibrantlabsai/ragas","question":"Is Ragas open source?","confidence":0.95}]` |
| deployment.options | `{"on_prem":true,"self_hosted":true}` | `{"self_hosted":true}` |
| description.long | An open-source RAG system designed for high scalability that uses both knowledge graphs and vector search to retrieve information from large datasets with reduced computational overhead and faster response times. | A Python-based framework that evaluates RAG applications through automatic metrics covering faithfulness, relevance, and recall. Includes tools to synthetically generate test datasets customized for specific use cases, enabling developers to assess LLM application performance at both component and end-to-end levels. |
| features.capabilities | `{"open_source":true,"multimodal_rag":true,"hybrid_retrieval":true,"citation_attribution":true,"llm_provider_agnostic":true,"reranking_integration":true,"managed_ingestion_pipeline":true,"embedding_provider_agnostic":true,"multi_hop_agentic_retrieval":false}` | `{"open_source":true,"pricing_model":"free_open_source","architecture_model":"open_source_cli","built_in_rag_eval_metrics":true,"llm_as_a_judge_prompt_grading_framework":true,"synthetic_test_dataset_generation_from_documents":true}` |
| integrations.count | 9 | 3 |
| integrations.list | `[{"name":"PostgreSQL","native":true,"category":"storage"},{"name":"Neo4j","native":true,"category":"storage"},{"name":"MongoDB","native":true,"category":"storage"},{"name":"Milvus","native":true,"category":"storage"},{"name":"Qdrant","native":true,"category":"storage"},{"name":"Redis","native":true,"category":"storage"},{"name":"Memgraph","native":true,"category":"storage"},{"name":"MinerU","native":true},{"name":"Docling","native":true}]` | `[{"name":"LlamaIndex"},{"name":"LangSmith"},{"name":"OpenAI"}]` |
| language.primary | Python | Python |
| license.spdx | MIT | Apache-2.0 |
| platform.support | `{"cli":true,"mac":true,"web":true,"linux":true}` | `{"cli":true}` |
| pricing | `{"type":"open_source","sourceUrl":"https://github.com/pricing","retrievedAt":"2026-09-14T09:25:31.588Z"}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://ragas.io","retrievedAt":"2026-08-21T13:52:19.928Z"}` |
| pricing.free_tier | - | yes |
| pricing.model | open_source | commercial |
| pricing.price_level | free | free |
| pricing.transparent | - | yes |
| release.cadence_days | 7 | 7 |
| release.history | `[{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.5.7","date":"2026-09-02T07:23:55Z","type":"stable","version":"v1.5.7"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.5.7rc2","date":"2026-08-19T07:01:48Z","type":"stable","version":"v1.5.7rc2"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.5.7rc1","date":"2026-08-17T06:47:01Z","type":"prerelease","version":"v1.5.7rc1"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.5.6","date":"2026-08-06T08:29:47Z","type":"stable","version":"v1.5.6"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.5.5","date":"2026-07-31T12:07:29Z","type":"stable","version":"v1.5.5"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.5.5rc1","date":"2026-07-13T19:33:37Z","type":"prerelease","version":"v1.5.5rc1"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.5.4","date":"2026-06-24T10:24:01Z","type":"stable","version":"v1.5.4"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.5.3","date":"2026-06-14T06:21:33Z","type":"stable","version":"v1.5.3"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.5.2","date":"2026-06-11T06:14:51Z","type":"stable","version":"v1.5.2"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.5.1","date":"2026-06-09T08:32:30Z","type":"stable","version":"v1.5.1"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.5.0","date":"2026-06-03T01:54:09Z","type":"stable","version":"v1.5.0"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.5.0rc3","date":"2026-05-26T09:27:02Z","type":"prerelease","version":"v1.5.0rc3"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.4.16","date":"2026-05-07T19:34:01Z","type":"stable","version":"v1.4.16"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.4.15","date":"2026-04-19T08:40:25Z","type":"stable","version":"v1.4.15"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.4.14","date":"2026-04-12T20:43:18Z","type":"stable","version":"v1.4.14"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.4.13","date":"2026-04-02T17:00:24Z","type":"stable","version":"v1.4.13"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.4.12","date":"2026-03-27T05:52:31Z","type":"stable","version":"v1.4.12"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.4.11","date":"2026-03-20T08:41:06Z","type":"stable","version":"v1.4.11"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.4.11rc2","date":"2026-03-13T06:19:07Z","type":"stable","version":"v1.4.11rc2"},{"url":"https://github.com/HKUDS/LightRAG/releases/tag/v1.4.10","date":"2026-02-27T07:39:59Z","type":"stable","version":"v1.4.10"}]` | `[{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.3","date":"2026-01-13T17:47:29Z","type":"stable","version":"v0.4.3"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.2","date":"2025-12-23T17:13:41Z","type":"stable","version":"v0.4.2"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.1","date":"2025-12-10T16:28:51Z","type":"stable","version":"v0.4.1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.0","date":"2025-12-03T16:22:29Z","type":"stable","version":"v0.4.0"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.9","date":"2025-11-11T17:24:46Z","type":"stable","version":"v0.3.9"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.8","date":"2025-10-28T19:09:17Z","type":"stable","version":"v0.3.8"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.7","date":"2025-10-14T16:21:37Z","type":"stable","version":"v0.3.7"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.6","date":"2025-10-03T03:56:31Z","type":"stable","version":"v0.3.6"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.5","date":"2025-09-17T19:13:15Z","type":"stable","version":"v0.3.5"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.5rc2","date":"2025-09-17T17:40:25Z","type":"prerelease","version":"v0.3.5rc2"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.5rc1","date":"2025-09-17T17:31:23Z","type":"prerelease","version":"v0.3.5rc1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.4","date":"2025-09-10T23:57:28Z","type":"stable","version":"v0.3.4"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.3","date":"2025-09-04T17:59:51Z","type":"stable","version":"v0.3.3"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.3rc1","date":"2025-09-04T17:46:09Z","type":"prerelease","version":"v0.3.3rc1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2","date":"2025-08-19T12:03:50Z","type":"stable","version":"v0.3.2"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2rc3","date":"2025-08-19T12:01:12Z","type":"prerelease","version":"v0.3.2rc3"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2-rc2","date":"2025-08-19T11:49:23Z","type":"prerelease","version":"v0.3.2-rc2"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2-rc1","date":"2025-08-19T10:28:33Z","type":"prerelease","version":"v0.3.2-rc1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.1","date":"2025-08-11T11:15:03Z","type":"stable","version":"v0.3.1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.0","date":"2025-07-17T05:32:24Z","type":"stable","version":"v0.3.0"}]` |
| security.disclosure_policy | yes | - |
| security.trust_center | https://github.com/HKUDS/LightRAG/security | - |
| security.vulnerabilities | `{"count":10,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=lightrag-hku&per_page=100","last_12m":9,"max_severity":"CRITICAL"}` | `{"count":2,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ragas&per_page=100","last_12m":2,"max_severity":"HIGH"}` |

## Capabilities (RAG Tools)

| Capability | LightRAG | Ragas |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Hybrid retrieval | ✓ | - |
| Reranking integration | ✓ | - |
| Multi hop agentic retrieval | ✗ | - |
| Embedding provider agnostic | ✓ | - |
| LLM provider agnostic | ✓ | - |
| Built in rag eval metrics | - | ✓ |
| Citation attribution | ✓ | - |
| Multimodal rag | ✓ | - |
| Managed ingestion pipeline | ✓ | - |
| Open source | ✓ | ✓ |

*Source: vioscaleAI. Generated 2026-10-16T02:36:15.628Z. "-" = undocumented, not absent.*