# Amazon Bedrock Knowledge Bases vs txtai

| Attribute | Amazon Bedrock Knowledge Bases | txtai |
|---|---|---|
| **vioscaleAI score** | 58.2 (74% (medium)) | 61.2 (56% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 14 |
| adoption.github_stars | - | 13,018 |
| content.faq | `[{"answer":"A fully managed AWS service that automatically handles document ingestion, multimodal content parsing, embedding generation, and intelligent retrieval with optional AI-powered multi-step query planning for complex information lookups. It is indexed under RAG Tools.","source":"https://aws.amazon.com/bedrock/pricing/","question":"What is Amazon Bedrock Knowledge Bases?","confidence":0.6},{"answer":"Amazon Bedrock Knowledge Bases offers a free tier, so you can start without paying. Paid plans start at $0.01. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://aws.amazon.com/bedrock/pricing/","question":"Is Amazon Bedrock Knowledge Bases free?","confidence":0.6},{"answer":"We have confirmed browser-based access to Amazon Bedrock Knowledge Bases. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://aws.amazon.com/bedrock/pricing/","question":"What platforms does Amazon Bedrock Knowledge Bases support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for Amazon Bedrock Knowledge Bases, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://aws.amazon.com/bedrock/pricing/","question":"Can Amazon Bedrock Knowledge Bases be self-hosted?","confidence":0.6},{"answer":"We have confirmed 11 integrations for Amazon Bedrock Knowledge Bases, including Amazon S3, SharePoint, Confluence, Google Drive, OneDrive, Web crawlers, Amazon Bedrock AgentCore and Asana, plus 3 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://aws.amazon.com/bedrock/pricing/","question":"What does Amazon Bedrock Knowledge Bases integrate with?","confidence":0.6},{"answer":"We have independently confirmed HIPAA and GDPR for Amazon Bedrock Knowledge Bases. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Amazon Bedrock Knowledge Bases not holding them. Always confirm compliance directly before you rely on it.","source":"https://aws.amazon.com/trust-center/?nc1=f_cc","question":"What security certifications does Amazon Bedrock Knowledge Bases have?","confidence":0.7},{"answer":"Amazon Bedrock Knowledge Bases is available in the United States, India, Brazil, Indonesia, Japan, Sweden, Germany and Ireland. Its primary markets are the United States and the EU. The vendor is headquartered in the United States.","source":"https://aws.amazon.com/bedrock/pricing/","question":"Where is Amazon Bedrock Knowledge Bases available?","confidence":0.75}]` | `[{"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}` |
| description.long | Amazon Bedrock Knowledge Bases automates linking AI models to your organization's data, from extracting and indexing documents to executing intelligent searches that provide models with current, relevant context. | 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":false,"multimodal_rag":true,"llm_provider_agnostic":true,"reranking_integration":true,"built_in_rag_eval_metrics":true,"managed_ingestion_pipeline":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 | 7 | 5 |
| integrations.list | `[{"name":"Amazon S3"},{"name":"SharePoint"},{"name":"Confluence"},{"name":"Google Drive"},{"name":"OneDrive"},{"name":"Web crawlers"},{"name":"Amazon Bedrock AgentCore"},{"name":"Asana"},{"name":"LangChain"},{"name":"Strands"},{"name":"S3","native":true,"category":"storage","direction":"inbound"},{"name":"Bedrock Data Automation","native":true,"direction":"inbound"},{"name":"Web Crawler","native":true,"category":"web","direction":"inbound"}]` | `[{"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 |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":["US","BR","DE","IE","IN","ID","IT","JP","SE"],"notAvailableCountries":[]}` | - |
| platform.support | `{"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"usage","plans":[{"free":false,"name":"Standard Tier","summary":"Free parsing, $1.00 per 1,000 Agentic API calls, $0.010 per page processed","features":["Multimodal document parsing","Embeddings generation","Standard retrieval API","Agentic multi-step retrieval","Native connectors to S3, SharePoint, Confluence, OneDrive, Google Drive","Web crawler support","Session memory and observability"],"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"},{"kind":"per_unit","unit":"1000 Agentic Retrieve API calls","amount":1,"period":"month","currency":"USD"},{"per":{"qty":1,"unit":"page"},"kind":"metered","amount":0.01,"currency":"USD"}],"description":"Pay-per-use pricing based on data processing and API calls","contactSales":false}],"summary":"Usage-based pricing: free multimodal parsing, $1.00 per 1,000 Agentic Retrieve API calls, $0.010 per processed page","currency":"USD","sourceUrl":"https://aws.amazon.com/bedrock/pricing/","retrievedAt":"2026-09-28T13:42:48.025Z","startingPrice":{"amount":0,"period":"month","currency":"USD"},"billingPeriods":["month"]}` | `{"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.starting_price | `{"amount":0,"currency":"USD"}` | - |
| 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 | yes |
| security.certifications | `[{"name":"PCI-DSS","status":"active","evidenceUrl":"https://aws.amazon.com/compliance/"},{"name":"HIPAA/HITECH","status":"active","evidenceUrl":"https://aws.amazon.com/compliance/"},{"name":"FedRAMP","status":"active","evidenceUrl":"https://aws.amazon.com/compliance/"},{"name":"GDPR","status":"active","evidenceUrl":"https://aws.amazon.com/compliance/"},{"name":"FIPS 140-3","status":"active","evidenceUrl":"https://aws.amazon.com/compliance/"},{"name":"NIST 800-171","status":"active","evidenceUrl":"https://aws.amazon.com/compliance/"}]` | - |
| security.disclosure_policy | yes | - |
| security.fedramp | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.pci | yes | - |
| security.scorecard | - | 5.4 |
| security.trust_center | https://aws.amazon.com/security/ | - |
| 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 | Amazon Bedrock Knowledge Bases | 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 2026-10-16T20:16:18.782Z. "-" = undocumented, not absent.*