# FastRAG vs txtai

**Leader by vioscaleAI score:** txtai

| Attribute | FastRAG | txtai |
|---|---|---|
| **vioscaleAI score** | 39.9 (54% (medium)) | 61.2 (56% (medium)) |
| activity.commits_last_30d | 0 | 100 |
| adoption.dependent_repos | 0 | 14 |
| adoption.github_stars | 1,786 | 13,018 |
| content.faq | `[{"answer":"A toolkit for researchers and developers to construct and optimize RAG applications. It provides streamlined components for retrieval and generation, with support for multiple LLM backends and hardware accelerators, and maintains compatibility with the Haystack framework. It is indexed under RAG Tools.","source":"https://github.com/pricing","question":"What is FastRAG?","confidence":0.6},{"answer":"FastRAG 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://github.com/pricing","question":"Is FastRAG free to use?","confidence":0.6},{"answer":"FastRAG supports 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 FastRAG support?","confidence":0.6},{"answer":"Yes. FastRAG can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://github.com/pricing","question":"Can FastRAG be self-hosted?","confidence":0.6},{"answer":"We have confirmed 6 integrations for FastRAG, including Haystack, HuggingFace, Elastic, Qdrant, OpenVINO and LlamaCpp. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://github.com/pricing","question":"What does FastRAG integrate with?","confidence":0.6},{"answer":"Yes. FastRAG 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/intellabs/fastRAG","question":"Is FastRAG 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 | `{"on_prem":true,"self_hosted":true}` | `{"self_hosted":true}` |
| description.long | An open-source Python toolkit that combines document retrieval with large language models to create question-answering and generation systems. Provides optimized components and supports multiple inference backends including Intel accelerators. | 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,"llm_provider_agnostic":true,"embedding_provider_agnostic":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 | 7 | 5 |
| integrations.list | `[{"name":"Haystack"},{"name":"HuggingFace"},{"name":"Elastic"},{"name":"Qdrant"},{"name":"OpenVINO"},{"name":"LlamaCpp"},{"name":"ONNX Runtime","native":true,"category":"inference_runtime"},{"name":"Llama CPP","native":true,"category":"inference_engine"},{"name":"Intel Gaudi","native":true,"category":"hardware"},{"name":"Elasticsearch","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 | 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://github.com/pricing","retrievedAt":"2026-08-21T10:58:48.479Z"}` | `{"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 | 22 | 27 |
| release.history | `[{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v3.1.2","date":"2024-11-25T10:09:51Z","type":"stable","version":"v3.1.2"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v3.1.1","date":"2024-11-24T14:22:46Z","type":"stable","version":"v3.1.1"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v3.1.0","date":"2024-11-07T14:21:16Z","type":"stable","version":"v3.1.0"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v3.0.2","date":"2024-07-09T09:49:53Z","type":"stable","version":"v3.0.2"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v3.0.1","date":"2024-07-02T13:38:09Z","type":"stable","version":"v3.0.1"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v3.0","date":"2024-05-22T15:13:25Z","type":"stable","version":"v3.0"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v2.0","date":"2023-12-24T16:24:05Z","type":"stable","version":"v2.0"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v1.3.0","date":"2023-06-20T12:06:34Z","type":"stable","version":"v1.3.0"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v1.2.1","date":"2023-06-13T10:57:48Z","type":"stable","version":"v1.2.1"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v1.2.0","date":"2023-05-21T11:05:07Z","type":"stable","version":"v1.2.0"}]` | `[{"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.trust_center | https://github.com/security | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=fastrag&per_page=100","last_12m":0,"max_severity":null}` | `{"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 | FastRAG | 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 2026-10-16T17:47:53.400Z. "-" = undocumented, not absent.*