RAG
Retrieval Augmented GenerationRAG
Providers using this tag (106)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 3 Complete, well-documented, and agent-ready
Strong 13 Solid coverage with minor gaps
Developing 33 Usable, with meaningful gaps to close
Thin 35 Limited public surface area
Emerging 17 Early or largely undocumented
Minimal 5 Almost no public developer surface
APIs with this tag (52)
Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →
Exemplar 5 Complete, well-documented, and agent-ready
Strong 10 Solid coverage with minor gaps
Developing 16 Usable, with meaningful gaps to close
Thin 11 Limited public surface area
Emerging 10 Early or largely undocumented
Companies reaching this through an API (24)
These companies publish an API, specification or operation carrying “RAG” but do not classify their business under it. Listed unranked and kept out of the count above, because one tagged operation is not a statement about what a company does.
Score breakdown
Where this tag sits
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 104 providers in the APIs.io catalog tagged RAG, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Quality | 39 | 18.6 | +20.4 | 104 |
| Developer Ergonomics | 42.7 | 24.5 | +18.2 | 104 |
| Operational Transparency | 25.2 | 13.2 | +12 | 104 |
| Access Clarity | 41.3 | 30 | +11.3 | 104 |
| Discoverability | 67.6 | 59.1 | +8.5 | 104 |
| Contract Governance | 16 | 9.7 | +6.3 | 104 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 38% | 18% | +20 |
| MCP server (first-party) | 38% | 16% | +22 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 13% | 13% | 0 |
| Security | 98% | 99% | -1 |
| Arazzo workflows | 2% | 1% | +1 |
| Governance rules | 76% | 36% | +40 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
- 1 Dify 78.8
- 2 TranscriptFetch 70.2
- 3 Dust 69.1
- 4 Nexla 66.2
- 5 WebCrawlerAPI 65.8
- 6 Seekr 65.1
- 7 Amazon Bedrock 64.3
- 8 Space Frontiers 64.1
- 9 Airia 63.6
- 10 Compresr 61.2
- 1 Space Frontiers 68.9
- 2 Airweave 60.6
- 3 TranscriptFetch 56.9
- 4 LinqAlpha 55.5
- 5 Mixedbread 51.2
- 6 OpenLaws 51.1
- 7 Amazon Bedrock 48.9
- 8 Airia 48.2
- 9 Haystack / deepset 47
- 10 Pinecone 46.9
Coverage caveat. 70 of 104 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.Generated from the catalog build of 14 November 2026, across 41591 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.