Markets · frontier market · provisional
Retrieval, Vector and RAG
Frontier, coverage by rag frameworks (llamaindex, langchain) over vector stores, embeddings, rerankers and parsers. The Kin Score Market layer reads each provider in its market: who it integrates with, how deep those integrations go, and where the market publishes its own structure. Methodology.
85providers measured
70 (82.4%)declare their own
15 (17.6%)covered by others only
0 (0.0%)undeclared
35declare compatibility (report only, not weighted)
Provisional. Provisional and unweighted: the Market layer is not part of the composite or agent readiness. Leader lists are read within a position, never as one ranking. A provider that declares nothing we can
read is shown as undeclared, with no number: we never infer integrations.
Where this market publishes its structure
- LlamaIndex llama-index-integrations (vector_stores, embeddings, postprocessor rerankers, readers) machine-readable, 118 SaaS data-source readers counted, never linked
- LangChain partner packages (libs/partners + langchain-ai langchain-
repos) machine-readable, LLM-only partners are model-routing's, counted not linked - Haystack / DSPy integration lists not machine-readable: not swept this pass
- Vector DB benchmark registries (ann-benchmarks, VectorDBBench) not machine-readable: benchmarks, not coverage
Own = declares at least one integration itself; covered = visible only because an aggregator, standards body, regulator or partner contract names it; distribution-only = listed only on cloud marketplaces it sells through, a channel reported beside, never counted as its own declared integrations; undeclared = nothing we can read, so no number; declares_compatibility = providers with a `compatible` shape vote, report only (kin, 2026-10-13): never counted as own, never in depth or position.
Taxonomy how this market maps onto apis.io
Derived 2026-10-23 from the 85 providers in this market we could resolve in the catalog. The percentage is the share of those providers carrying each one; it describes the market, not the tag or industry. Tag groups have no page of their own yet, so they are listed unlinked.
| Tags | Database 38%, LLM 29%, Open Source 26%, Vector Search 24%, Embeddings 20% |
|---|---|
| Tag groups | RAG 49%, Database 46%, LLM 38% |
| Industries | Artificial Intelligence 62%, Data & Analytics 48%, Developer Tools & DevOps 25% |
| Areas | Database 38%, Machine Learning 20%, Serverless 13%, API Evangelist Search 12% |
| Capabilities | Information & Data Management 29%, Information Technology Management 24% |
share of resolved cohort carrying it; tags >=0.20 & >=3 members (max 12, junk dropped), tag_groups >=0.20 (cooccurrence, non-cross-cutting; max 8), industries >=0.20 (max 6), areas >=0.10 (max 6; areas are keyword-matched and sparse), capabilities L1 >=0.20 (max 8); derive-market-taxonomy.py
Leaders by position (provisional)
Provisional: grouped by position, depth compared within a position only. Distribution (cloud marketplaces) and iPaaS bridges are counted beside position, never inside it. Unknown-builder listings are left out of position shares and counted here.
gravity 1 · other companies invest to build on it
| Provider | Depth | Integrations | In / out | Unknown builder | Distribution | iPaaS bridge | Mix |
|---|---|---|---|---|---|---|---|
| Hugging Face | 51.8 | 217 | 189 / 28 | 0 | 0 | 4 | partner-built 94%, ipaas-bridge 1%, standard 1%, coverage 3%, covered 1%, builds-on-platform 1% |
builds-on 12 · publishes apps on other platforms' stores
| Provider | Depth | Integrations | In / out | Unknown builder | Distribution | iPaaS bridge | Mix |
|---|---|---|---|---|---|---|---|
| Couchbase | 54.6 | 17 | 0 / 17 | 0 | 5 | 1 | ipaas-bridge 6%, standard 18%, covered 6%, builds-on-platform 41%, distribution 29% |
| DataStax | 52.7 | 13 | 0 / 13 | 0 | 2 | 0 | standard 23%, covered 15%, builds-on-platform 46%, distribution 15% |
| SingleStore | 51.8 | 14 | 0 / 14 | 0 | 2 | 2 | ipaas-bridge 14%, standard 7%, covered 14%, builds-on-platform 50%, distribution 14% |
| Supabase | 51.8 | 17 | 0 / 17 | 1 | 3 | 2 | ipaas-bridge 12%, standard 12%, covered 6%, builds-on-platform 47%, distribution 18%, unknown 6% |
| Vespa | 51.7 | 4 | 0 / 4 | 0 | 0 | 0 | standard 25%, covered 25%, builds-on-platform 50% |
| Timescale | 51.1 | 6 | 0 / 6 | 0 | 1 | 0 | standard 17%, covered 17%, builds-on-platform 50%, distribution 17% |
| Qdrant | 49.4 | 13 | 0 / 13 | 0 | 2 | 2 | ipaas-bridge 15%, standard 8%, covered 15%, builds-on-platform 46%, distribution 15% |
| Nile | 46.0 | 4 | 0 / 4 | 0 | 2 | 0 | covered 20%, builds-on-platform 40%, distribution 40% |
| Upstash | 45.0 | 10 | 0 / 10 | 0 | 0 | 1 | ipaas-bridge 10%, standard 10%, covered 20%, builds-on-platform 60% |
| Exa | 41.9 | 9 | 0 / 9 | 0 | 0 | 2 | ipaas-bridge 22%, standard 11%, covered 11%, builds-on-platform 56% |
| Rockset | 40.7 | 4 | 0 / 4 | 0 | 0 | 1 | ipaas-bridge 25%, covered 25%, builds-on-platform 50% |
| Contextual AI | 39.2 | 5 | 0 / 5 | 0 | 1 | 1 | ipaas-bridge 20%, covered 20%, builds-on-platform 40%, distribution 20% |
covered 51 · reached mainly through aggregators
| Provider | Depth | Integrations | In / out | Unknown builder | Distribution | iPaaS bridge | Mix |
|---|---|---|---|---|---|---|---|
| Snowflake | 59.7 | 178 | 0 / 178 | 0 | 107 | 36 | ipaas-bridge 20%, contract 2%, standard 3%, covered 11%, builds-on-platform 6%, distribution 58% |
| Alibaba | 51.8 | 12 | 0 / 12 | 0 | 0 | 0 | standard 33%, covered 50%, builds-on-platform 17% |
| Microsoft Azure AI Foundry | 51.8 | 5 | 0 / 5 | 0 | 0 | 0 | covered 100% |
| Fireworks AI | 51.8 | 11 | 0 / 11 | 0 | 0 | 1 | ipaas-bridge 9%, standard 18%, covered 64%, builds-on-platform 9% |
| Mistral AI | 51.8 | 25 | 0 / 25 | 0 | 3 | 3 | ipaas-bridge 12%, standard 12%, covered 44%, builds-on-platform 20%, distribution 12% |
| Zhipu AI | 51.8 | 5 | 0 / 5 | 0 | 0 | 0 | covered 100% |
| Amazon Bedrock | 51.7 | 8 | 0 / 8 | 0 | 0 | 0 | covered 100% |
| DeepInfra | 51.7 | 7 | 0 / 7 | 0 | 0 | 0 | covered 71%, builds-on-platform 29% |
| Azure OpenAI Service | 51.7 | 7 | 0 / 7 | 0 | 0 | 0 | covered 100% |
| Nomic AI | 51.7 | 4 | 0 / 4 | 0 | 0 | 0 | covered 75%, builds-on-platform 25% |
| SiliconFlow | 51.7 | 4 | 0 / 4 | 0 | 0 | 0 | covered 75%, builds-on-platform 25% |
| Together AI | 51.7 | 8 | 0 / 8 | 0 | 0 | 0 | covered 88%, builds-on-platform 12% |
| Cohere | 49.4 | 12 | 0 / 12 | 0 | 1 | 2 | ipaas-bridge 17%, standard 8%, covered 50%, builds-on-platform 17%, distribution 8% |
| Upstage | 47.9 | 6 | 0 / 6 | 0 | 1 | 0 | covered 67%, builds-on-platform 17%, distribution 17% |
| Google Vertex AI | 46.2 | 8 | 0 / 8 | 0 | 0 | 1 | ipaas-bridge 12%, covered 88% |
| NVIDIA NIM | 46.2 | 8 | 0 / 8 | 1 | 0 | 0 | standard 12%, covered 75%, unknown 12% |
| Anyscale | 45.2 | 7 | 0 / 7 | 0 | 2 | 0 | standard 14%, covered 43%, builds-on-platform 14%, distribution 29% |
| Voyage AI | 45.1 | 6 | 0 / 6 | 0 | 0 | 1 | ipaas-bridge 17%, covered 50%, builds-on-platform 33% |
| Oracle Cloud Infrastructure | 44.6 | 10 | 0 / 10 | 0 | 1 | 1 | ipaas-bridge 10%, standard 40%, covered 40%, distribution 10% |
| Google Cloud Firestore | 44.1 | 3 | 0 / 3 | 0 | 1 | 0 | covered 67%, distribution 33% |
| Google Gemini | 41.9 | 9 | 0 / 9 | 1 | 0 | 1 | ipaas-bridge 11%, covered 78%, unknown 11% |
| Amazon SageMaker | 40.7 | 4 | 0 / 4 | 0 | 0 | 1 | ipaas-bridge 25%, covered 75% |
| Aleph Alpha | 40.2 | 4 | 0 / 4 | 0 | 3 | 0 | covered 20%, builds-on-platform 20%, distribution 60% |
| Gel Data | 38.0 | 5 | 0 / 5 | 0 | 3 | 0 | covered 20%, builds-on-platform 20%, distribution 60% |
| ObjectBox | 38.0 | 5 | 0 / 5 | 0 | 3 | 0 | covered 20%, builds-on-platform 20%, distribution 60% |
| Ollama | 37.8 | 8 | 0 / 8 | 1 | 0 | 1 | ipaas-bridge 12%, covered 62%, builds-on-platform 12%, unknown 12% |
| Jina AI | 36.2 | 10 | 0 / 10 | 0 | 1 | 3 | ipaas-bridge 30%, standard 20%, covered 30%, builds-on-platform 10%, distribution 10% |
| Unstructured | 34.9 | 4 | 0 / 4 | 0 | 1 | 1 | ipaas-bridge 25%, standard 25%, covered 25%, distribution 25% |
| Mixedbread | 34.5 thin | 2 | 0 / 2 | 0 | 0 | 0 | covered 50%, builds-on-platform 50% |
| Oracle Database | 34.5 thin | 2 | 0 / 2 | 0 | 0 | 0 | standard 50%, covered 50% |
| vLLM | 34.5 thin | 2 | 0 / 2 | 0 | 0 | 0 | standard 50%, covered 50% |
| Chroma | 34.0 | 5 | 0 / 5 | 0 | 0 | 2 | ipaas-bridge 40%, covered 40%, builds-on-platform 20% |
| AssemblyAI | 31.8 | 23 | 0 / 23 | 1 | 1 | 4 | ipaas-bridge 36%, covered 36%, builds-on-platform 9%, distribution 9%, unknown 9% |
| Amazon DynamoDB | 30.6 | 6 | 0 / 6 | 0 | 0 | 3 | ipaas-bridge 50%, covered 50% |
| Amazon S3 | 30.5 | 10 | 0 / 10 | 0 | 0 | 5 | ipaas-bridge 50%, covered 50% |
| IBM Db2 | 29.6 | 4 | 0 / 4 | 0 | 0 | 2 | ipaas-bridge 50%, standard 25%, covered 25% |
| Google BigQuery | 28.2 | 9 | 0 / 9 | 0 | 0 | 5 | ipaas-bridge 56%, covered 44% |
| Activeloop | 26.8 thin | 2 | 0 / 2 | 0 | 1 | 0 | covered 50%, distribution 50% |
| Clarifai | 23.9 | 4 | 0 / 4 | 0 | 1 | 2 | ipaas-bridge 50%, covered 25%, distribution 25% |
| DuckDB | 22.2 | 3 | 0 / 3 | 0 | 0 | 2 | ipaas-bridge 67%, covered 33% |
| Amazon DocumentDB | 19.7 thin | 2 | 0 / 2 | 0 | 0 | 1 | ipaas-bridge 50%, covered 50% |
| Azure Cosmos DB | 19.7 thin | 2 | 0 / 2 | 0 | 0 | 1 | ipaas-bridge 50%, covered 50% |
| Typesense | 19.7 thin | 2 | 0 / 2 | 0 | 0 | 1 | ipaas-bridge 50%, covered 50% |
| Zep | 19.7 thin | 2 | 0 / 2 | 0 | 0 | 1 | ipaas-bridge 50%, covered 50% |
| Amazon Neptune | 17.2 thin | 1 | 0 / 1 | 0 | 0 | 0 | covered 100% |
| Apache Cassandra | 17.2 thin | 1 | 0 / 1 | 0 | 0 | 0 | covered 100% |
| LlamaParse | 17.2 thin | 1 | 0 / 1 | 0 | 0 | 0 | covered 100% |
| Azure Database for PostgreSQL | 17.2 thin | 1 | 0 / 1 | 0 | 0 | 0 | covered 100% |
| Azure AI Search | 17.2 thin | 1 | 0 / 1 | 0 | 0 | 0 | covered 100% |
| MyScale | 17.2 thin | 1 | 0 / 1 | 0 | 0 | 0 | covered 100% |
| Apache Solr | 17.2 thin | 1 | 0 / 1 | 0 | 0 | 0 | covered 100% |
standard 6 · listed by a voluntary standard's own directory
| Provider | Depth | Integrations | In / out | Unknown builder | Distribution | iPaaS bridge | Mix |
|---|---|---|---|---|---|---|---|
| Nebius | 52.7 | 15 | 0 / 15 | 0 | 0 | 1 | ipaas-bridge 7%, standard 47%, covered 33%, builds-on-platform 13% |
| Elasticsearch | 51.8 | 15 | 0 / 15 | 0 | 2 | 4 | ipaas-bridge 27%, standard 33%, covered 27%, distribution 13% |
| Weaviate | 49.4 | 14 | 0 / 14 | 0 | 2 | 3 | ipaas-bridge 21%, standard 36%, covered 14%, builds-on-platform 14%, distribution 14% |
| Milvus | 48.2 | 7 | 0 / 7 | 0 | 0 | 1 | ipaas-bridge 14%, standard 43%, covered 29%, builds-on-platform 14% |
| LanceDB | 47.1 | 5 | 0 / 5 | 0 | 1 | 0 | standard 40%, covered 20%, builds-on-platform 20%, distribution 20% |
| Yugabyte | 45.8 | 13 | 0 / 13 | 0 | 6 | 0 | standard 31%, covered 8%, builds-on-platform 15%, distribution 46% |
mixed 15 · no single mode dominates
| Provider | Depth | Integrations | In / out | Unknown builder | Distribution | iPaaS bridge | Mix |
|---|---|---|---|---|---|---|---|
| Cloudflare | 61.4 | 34 | 0 / 34 | 1 | 5 | 0 | contract 12%, standard 29%, covered 15%, builds-on-platform 26%, distribution 15%, unknown 3% |
| Databricks | 58.2 | 165 | 0 / 165 | 0 | 123 | 7 | ipaas-bridge 4%, contract 2%, standard 2%, covered 11%, builds-on-platform 8%, distribution 73% |
| MongoDB | 58.0 | 28 | 0 / 28 | 0 | 3 | 5 | ipaas-bridge 18%, contract 7%, standard 25%, covered 11%, builds-on-platform 29%, distribution 11% |
| ClickHouse | 55.9 | 21 | 0 / 21 | 0 | 5 | 2 | ipaas-bridge 10%, standard 29%, covered 14%, builds-on-platform 24%, distribution 24% |
| OpenAI | 55.6 | 73 | 0 / 73 | 1 | 6 | 35 | ipaas-bridge 49%, contract 4%, standard 10%, covered 17%, builds-on-platform 10%, distribution 8%, unknown 1% |
| Baidu | 55.3 | 19 | 0 / 19 | 1 | 0 | 1 | ipaas-bridge 5%, standard 42%, covered 16%, builds-on-platform 32%, unknown 5% |
| Neo4j | 54.9 | 18 | 0 / 18 | 1 | 3 | 1 | ipaas-bridge 6%, contract 6%, standard 28%, covered 11%, builds-on-platform 28%, distribution 17%, unknown 6% |
| Redis | 54.6 | 12 | 0 / 12 | 0 | 0 | 0 | standard 33%, covered 25%, builds-on-platform 42% |
| Pinecone | 52.1 | 16 | 0 / 16 | 0 | 2 | 4 | ipaas-bridge 25%, standard 12%, covered 19%, builds-on-platform 31%, distribution 12% |
| Baseten | 51.8 | 13 | 0 / 13 | 0 | 2 | 1 | ipaas-bridge 8%, standard 15%, covered 38%, builds-on-platform 23%, distribution 15% |
| Tencent Cloud | 51.7 | 3 | 0 / 3 | 0 | 0 | 0 | standard 33%, covered 33%, builds-on-platform 33% |
| PingCAP | 50.3 | 9 | 0 / 9 | 0 | 1 | 0 | standard 33%, covered 11%, builds-on-platform 44%, distribution 11% |
| OpenSearch | 49.2 | 9 | 0 / 9 | 0 | 0 | 1 | ipaas-bridge 11%, standard 22%, covered 22%, builds-on-platform 44% |
| AIMon | 44.1 | 3 | 0 / 3 | 0 | 1 | 0 | covered 33%, builds-on-platform 33%, distribution 33% |
| Heroku | 40.8 | 11 | 0 / 11 | 0 | 2 | 2 | ipaas-bridge 18%, standard 18%, covered 27%, builds-on-platform 18%, distribution 18% |
Frontier timeline DRAFT · report only — not weighted
DRAFT: alignment readings (MARKET-LAYER.md §12). Nothing is weighted until it holds across at least four weekly snapshots. 2 weekly snapshot(s) so far.
2026-10-15 anchor shape:
- Shape gravity: 4 providers declare compatibility with the shape in their own contracts.
- Mediation: frameworks and sources cover 85 providers; 23 are covered by every one (amazon-bedrock, azure-ai-foundry, chroma, cohere, datastax, elasticsearch, fireworks-ai, google-vertex-ai, hugging-face, milvus, mistral, mongodb, neo4j, nomic-ai, nvidia-nim, ollama, openai, pinecone, qdrant, redis, together-ai, upstage-ai, weaviate).
2026-10-17 anchor shape:
- Shape gravity: 4 providers declare compatibility with the shape in their own contracts.
- Mediation: frameworks and sources cover 85 providers; 23 are covered by every one (amazon-bedrock, azure-ai-foundry, chroma, cohere, datastax, elasticsearch, fireworks-ai, google-vertex-ai, hugging-face, milvus, mistral, mongodb, neo4j, nomic-ai, nvidia-nim, ollama, openai, pinecone, qdrant, redis, together-ai, upstage-ai, weaviate).
Generated 2026-10-24 from API Evangelist's own files; nothing on this page is a model's judgement. Provisional and unweighted; not part of the Kin Score composite or agent readiness. Read the Market layer methodology. Disagree with an edge? Every edge cites its evidence and can be corrected through the normal correction path.