# Ragas vs txtai

**Leader by vioscaleAI score:** txtai

| Attribute | Ragas | txtai |
|---|---|---|
| **vioscaleAI score** | 54 (32% (low)) | 61.2 (56% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | 1 | 14 |
| adoption.github_stars | 15,838 | 13,018 |
| content.faq | `[{"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}]` | `[{"answer":"txtai is an open-source Python framework for building semantic search applications, LLM-powered agents, retrieval augmented generation systems, and language model workflows with support for multiple vector backends and integration with various LLMs. It is indexed under Vector Databases.","source":"https://neuml.github.io/txtai","question":"What is txtai?","confidence":0.6},{"answer":"txtai 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://neuml.github.io/txtai","question":"Is txtai free to use?","confidence":0.6},{"answer":"txtai supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://neuml.github.io/txtai","question":"What platforms does txtai support?","confidence":0.6},{"answer":"Yes. txtai can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://neuml.github.io/txtai","question":"Can txtai be self-hosted?","confidence":0.6},{"answer":"We have confirmed 11 integrations for txtai, including llama.cpp, LiteLLM, Hugging Face, OpenAI, Claude, AWS Bedrock, smolagents and OpenCode, plus 3 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://neuml.github.io/txtai","question":"What does txtai integrate with?","confidence":0.6},{"answer":"Yes. txtai 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/neuml/txtai","question":"Is txtai open source?","confidence":0.95}]` |
| deployment.options | `{"self_hosted":true}` | `{"self_hosted":true}` |
| description.long | 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. | txtai is an open-source Python framework for building semantic search applications, LLM-powered agents, retrieval augmented generation systems, and language model workflows with support for multiple vector backends and integration with various LLMs. |
| features.capabilities | `{"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}` | `{"ann_index":"HNSW, IVF, IVFSparse, milvus-lite, turbovec, zvec","deployment":"embedded","consistency":"tunable","open_source":true,"quantization":"scalar","storage_tier":"disk_backed","hybrid_search":true,"licence_class":"permissive_oss","multi_tenancy":true,"product_class":"dedicated_dbms","full_text_bm25":true,"multimodal_rag":true,"distance_metrics":"cosine","horizontal_scale":"sharded_distributed","hybrid_retrieval":true,"metadata_filtering":"pre_filter","citation_attribution":true,"llm_provider_agnostic":true,"reranking_integration":true,"managed_ingestion_pipeline":true,"embedding_provider_agnostic":true,"multi_hop_agentic_retrieval":true}` |
| integrations.count | 3 | 5 |
| integrations.list | `[{"name":"LlamaIndex"},{"name":"LangSmith"},{"name":"OpenAI"}]` | `[{"name":"llama.cpp"},{"name":"LiteLLM"},{"name":"Hugging Face"},{"name":"OpenAI"},{"name":"Claude"},{"name":"AWS Bedrock"},{"name":"smolagents"},{"name":"OpenCode"},{"name":"DuckDB"},{"name":"Milvus"},{"name":"LiteRT"},{"name":"Model Context Protocol","native":true,"category":"api","direction":"bidirectional"}]` |
| language.primary | Python | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| platform.support | `{"cli":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://ragas.io","retrievedAt":"2026-08-21T13:52:19.928Z"}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://neuml.github.io/txtai","retrievedAt":"2026-08-21T12:43:59.946Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | open_source |
| pricing.price_level | free | free |
| pricing.transparent | yes | yes |
| release.cadence_days | 7 | 27 |
| release.history | `[{"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"}]` | `[{"url":"https://github.com/neuml/txtai/releases/tag/v9.14.0","date":"2026-10-06T12:49:05Z","type":"stable","version":"v9.14.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.13.0","date":"2026-08-27T13:16:31Z","type":"stable","version":"v9.13.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.12.0","date":"2026-07-30T19:43:23Z","type":"stable","version":"v9.12.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.11.0","date":"2026-07-01T15:07:00Z","type":"stable","version":"v9.11.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.10.0","date":"2026-06-04T10:22:48Z","type":"stable","version":"v9.10.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.9.0","date":"2026-05-12T15:21:53Z","type":"stable","version":"v9.9.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.8.0","date":"2026-04-29T15:29:38Z","type":"stable","version":"v9.8.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.7.0","date":"2026-03-20T17:10:04Z","type":"stable","version":"v9.7.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.6.0","date":"2026-02-25T17:56:31Z","type":"stable","version":"v9.6.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.5.0","date":"2026-02-12T16:44:38Z","type":"stable","version":"v9.5.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.4.1","date":"2026-01-23T17:03:50Z","type":"stable","version":"v9.4.1"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.4.0","date":"2026-01-21T15:30:33Z","type":"stable","version":"v9.4.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.3.0","date":"2025-12-22T23:35:33Z","type":"stable","version":"v9.3.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.2.0","date":"2025-11-21T15:09:50Z","type":"stable","version":"v9.2.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.1.0","date":"2025-11-04T13:23:09Z","type":"stable","version":"v9.1.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.0.1","date":"2025-09-15T13:25:58Z","type":"stable","version":"v9.0.1"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.0.0","date":"2025-08-28T19:17:55Z","type":"stable","version":"v9.0.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v8.6.0","date":"2025-06-10T14:25:49Z","type":"stable","version":"v8.6.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v8.5.0","date":"2025-04-14T20:09:38Z","type":"stable","version":"v8.5.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v8.4.0","date":"2025-03-11T14:24:16Z","type":"stable","version":"v8.4.0"}]` |
| reliability.status_page | - | yes |
| security.scorecard | - | 5.4 |
| security.vulnerabilities | `{"count":2,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ragas&per_page=100","last_12m":2,"max_severity":"HIGH"}` | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=txtai&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (RAG Tools)

| Capability | Ragas | txtai |
|---|:--:|:--:|
| **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 2026-10-17T05:44:58.348Z. "-" = undocumented, not absent.*