# RAGFlow vs txtai

**Leader by vioscaleAI score:** txtai

| Attribute | RAGFlow | txtai |
|---|---|---|
| **vioscaleAI score** | 53.5 (9% (low)) | 61.2 (56% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 14 |
| adoption.github_stars | - | 13,018 |
| content.faq | `[{"answer":"An AI platform that combines retrieval-augmented generation with autonomous agent features, enabling developers to create production-ready AI systems from complex data sources. It supports multiple deployment models (cloud or self-hosted Docker), integrates with various LLM providers and data sources, and provides streamlined workflows for enterprises of any scale. It is indexed under RAG Tools.","source":"https://ragflow.io","question":"What is RAGFlow?","confidence":0.6},{"answer":"RAGFlow is open source, so it can be self-hosted and used at no licence cost. Pricing changes often, so verify at source before relying on it.","source":"https://ragflow.io","question":"Is RAGFlow free to use?","confidence":0.6},{"answer":"RAGFlow supports the web, Windows, macOS, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://ragflow.io","question":"What platforms does RAGFlow support?","confidence":0.6},{"answer":"Yes. RAGFlow can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://ragflow.io","question":"Can RAGFlow be self-hosted?","confidence":0.6},{"answer":"We have confirmed 13 integrations for RAGFlow, including Discord, Feishu, Telegram, Line, Confluence, S3, Notion and Google Drive, plus 5 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://ragflow.io","question":"What does RAGFlow integrate with?","confidence":0.6}]` | `[{"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 | `{"cloud":true,"self_hosted":true}` | `{"self_hosted":true}` |
| description.long | RAGFlow is an open-source RAG engine that streamlines data processing and integration for building production-ready AI systems. It supports multiple data formats and provides configurable LLM and embedding options with agent-based workflows. | 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,"multimodal_rag":true,"citation_attribution":true,"llm_provider_agnostic":true,"managed_ingestion_pipeline":true,"embedding_provider_agnostic":true,"multi_hop_agentic_retrieval":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 | 12 | 5 |
| integrations.list | `[{"name":"Discord"},{"name":"Feishu"},{"name":"Telegram"},{"name":"Line"},{"name":"Confluence"},{"name":"S3"},{"name":"Notion"},{"name":"Google Drive"},{"name":"OpenAI"},{"name":"DeepSeek"},{"name":"Gemini"},{"name":"OpenClaw"},{"name":"OpenAI GPT-5","native":true,"category":"llm"},{"name":"Google Gemini 3 Pro","native":true,"category":"llm"},{"name":"DeepSeek v4","native":true,"category":"llm"},{"name":"MCP","native":true}]` | `[{"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 |
| license.spdx | - | Apache-2.0 |
| platform.support | `{"web":true,"linux":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://ragflow.io","retrievedAt":"2026-09-05T21:04:46.611Z"}` | `{"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 | open_source | open_source |
| pricing.price_level | free | free |
| pricing.transparent | yes | yes |
| release.cadence_days | - | 27 |
| release.history | - | `[{"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":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 | RAGFlow | 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 2026-10-16T03:18:05.806Z. "-" = undocumented, not absent.*