# KDB.AI vs txtai

**Leader by vioscaleAI score:** txtai

| Attribute | KDB.AI | txtai |
|---|---|---|
| **vioscaleAI score** | 47.1 (24% (low)) | 61.2 (56% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 14 |
| adoption.github_stars | - | 13,018 |
| content.faq | `[{"answer":"A vector database for contextual and time series search that enables building AI apps, finding patterns in data, and mixing structured with unstructured data. It is indexed under Vector Databases.","source":"https://kdb.ai","question":"What is KDB.AI?","confidence":0.6},{"answer":"KDB.AI offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.","source":"https://kdb.ai","question":"Is KDB.AI free?","confidence":0.6},{"answer":"Yes. KDB.AI can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://kdb.ai","question":"Can KDB.AI be self-hosted?","confidence":0.6},{"answer":"We have confirmed 7 integrations for KDB.AI, including Hugging Face, NVIDIA cuVS, LlamaIndex, Langchain, Voyage AI, TwelveLabs and Google Colab. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://kdb.ai","question":"What does KDB.AI 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,"on_prem":true}` | `{"self_hosted":true}` |
| description.long | KDB.AI is a specialized vector database enabling developers to build AI-powered applications by integrating vector embeddings with structured time-series data. It supports hybrid search, multimodal retrieval, and real-time analytics for generative AI and RAG applications. | 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 | `{"ann_index":"Flat, qFlat, IVF, IVFPQ, HNSW, qHnsw","deployment":"managed","quantization":"product","storage_tier":"disk_backed","hybrid_search":true,"multi_tenancy":true,"product_class":"dedicated_dbms","full_text_bm25":true,"distance_metrics":"Euclidean, Inner-Product, Cosine","horizontal_scale":"sharded_distributed","metadata_filtering":"pre_filter"}` | `{"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 | 5 | 5 |
| integrations.list | `[{"name":"Hugging Face"},{"name":"NVIDIA cuVS"},{"name":"LlamaIndex"},{"name":"Langchain"},{"name":"Voyage AI"},{"name":"TwelveLabs"},{"name":"Google Colab"},{"name":"HuggingFace"}]` | `[{"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 | - | `{"cli":true,"web":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Free","contactSales":false}],"summary":"Free tier available; enterprise pricing via contact sales","freeTier":true,"sourceUrl":"https://kdb.ai","retrievedAt":"2026-08-03T13:11:39.515Z"}` | `{"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 | low | free |
| pricing.transparent | no | 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.disclosure_policy | 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 (Vector Databases)

| Capability | KDB.AI | txtai |
|---|:--:|:--:|
| **Deployment** |  |  |
| Deployment | Managed | Embedded |
| Serverless / consumption pricing | - | - |
| **Index** |  |  |
| ANN index (HNSW / IVF / DiskANN / ScaNN / flat) | Flat, qFlat, IVF, IVFPQ, HNSW, qHnsw | HNSW, IVF, IVFSparse, milvus-lite, turbovec, zvec |
| Distance metrics (cosine / dot / Euclidean) | Euclidean, Inner-Product, Cosine | cosine |
| **Query** |  |  |
| Metadata filtering | Pre-filter | Pre-filter |
| Hybrid search (dense + sparse fusion) | ✓ | ✓ |
| Built-in BM25 / lexical | ✓ | ✓ |
| **Storage** |  |  |
| Quantization | Product | Scalar |
| On-disk vs in-memory | Disk-backed | Disk-backed |
| **Scale** |  |  |
| Multi-tenancy (namespaces / collections / tenants) | ✓ | ✓ |
| Horizontal scale | Sharded / distributed | Sharded / distributed |
| **Consistency** |  |  |
| Consistency | - | Tunable |
| **Licensing** |  |  |
| Licence class | - | Permissive OSS |
| **Classification** |  |  |
| Purpose-built vs feature-of-parent | Dedicated DBMS | Dedicated DBMS |

*Source: vioscaleAI. Generated 2026-10-16T21:00:22.358Z. "-" = undocumented, not absent.*