What AI assistants actually recommend when buyers ask about self-hosted vector databases — measured weekly across 5 engines, published as open data.
Updated 2026-08-02 · 76 sampled answers · rolling 4-week window · methodology
Rankings are measured from sampled AI answers — never editorial, never paid. Orbator builds AI-visibility tooling; when Orbator itself appears in any category, it is measured by the same rules as everyone else.
Sample: 76 AI answers · Window: Jul 5, 2026 – Aug 2, 2026 (4-week rolling) · trend vs prior 4 weeks (21 answers)
Across 76 sampled AI answers from 5 engines, Qdrant is recommended most often — appearing in 94.7% of recommendations, followed by Milvus (94.7%) and Weaviate (92.1%).
This is a measurement of share of voice across 5 AI engines — not an editorial pick. See the full ranking below.
| # | Product | Share | Trend | Engines | |
|---|---|---|---|---|---|
| 1 | Qdrant qdrant.tech | 94.7% 95% CI 87.2–97.9% 72 mentions · avg pos 6.1 first pick 30.6% | — | GROK 100%GEMINI 88.9%CHATGPT 100%CLAUDE 100%PERPLEXITY 96.4% | Claim |
| 2 | Milvus milvus.io | 94.7% 95% CI 87.2–97.9% 72 mentions · avg pos 7.2 first pick 25% | — | GROK 100%GEMINI 96.3%CHATGPT 100%CLAUDE 85.7%PERPLEXITY 92.9% | Claim |
| 3 | Weaviate weaviate.io | 92.1% 95% CI 83.8–96.3% 70 mentions · avg pos 8 first pick 5.7% | — | GROK 100%GEMINI 81.5%CHATGPT 100%CLAUDE 85.7%PERPLEXITY 100% | Claim |
| 4 | pgvector Best for: AI recommends pgvector most when buyers ask “how do I choose a self-hosted vector database for powering a retrieval-augmented generation system” (92.3% of those answers) | 73.7% 95% CI 62.8–82.3% 56 mentions · avg pos 10.4 first pick 12.5% | — | GROK 100%GEMINI 74.1%CHATGPT 71.4%CLAUDE 85.7%PERPLEXITY 64.3% | Claim |
| 5 | Chroma trychroma.com Best for: AI recommends Chroma most when buyers ask “best open-source vector database I can run on my own infrastructure for AI applications” (100% of those answers) | 59.2% 95% CI 48–69.6% 45 mentions · avg pos 11.4 first pick 4.4% | — | GROK 85.7%GEMINI 70.4%CHATGPT 42.9%CLAUDE 28.6%PERPLEXITY 53.6% | Claim |
| 6 | PostgreSQL postgresql.org Best for: AI recommends PostgreSQL most when buyers ask “open-source vector database alternatives to expensive managed vector search cloud services” (92.3% of those answers) | 56.6% 95% CI 45.4–67.1% 43 mentions · avg pos 9.9 first pick 14% | — | GROK 71.4%GEMINI 66.7%CHATGPT 71.4%CLAUDE 57.1%PERPLEXITY 39.3% | Claim |
| 7 | Redis redis.io Best for: AI recommends Redis most when buyers ask “open-source vector database alternatives to expensive managed vector search cloud services” (92.3% of those answers) | 51.3% 95% CI 40.3–62.2% 39 mentions · avg pos 9.8 first pick 5.1% | — | GROK 71.4%GEMINI 55.6%CHATGPT 28.6%CLAUDE 42.9%PERPLEXITY 50% | Claim |
| 8 | HNSW Best for: AI recommends HNSW most when buyers ask “how do I choose a self-hosted vector database for powering a retrieval-augmented generation system” (76.9% of those answers) | 43.4% 95% CI 32.9–54.6% 33 mentions · avg pos 7.2 first pick 21.2% | — | GROK 85.7%GEMINI 59.3%CHATGPT 71.4%CLAUDE 42.9%PERPLEXITY 10.7% | Claim |
| 9 | Postgres Best for: AI recommends Postgres most when buyers ask “how do I choose a self-hosted vector database for powering a retrieval-augmented generation system” (46.2% of those answers) | 31.6% 95% CI 22.2–42.7% 24 mentions · avg pos 5.5 first pick 16.7% | — | GROK 71.4%GEMINI 3.7%CLAUDE 57.1%PERPLEXITY 50% | Claim |
| 10 | Kubernetes kubernetes.io Best for: AI recommends Kubernetes most when buyers ask “best open-source vector database I can run on my own infrastructure for AI applications” (46.2% of those answers) | 30.3% 95% CI 21.1–41.3% 23 mentions · avg pos 10.4 first pick 17.4% | — | GROK 85.7%GEMINI 37%CHATGPT 28.6%CLAUDE 28.6%PERPLEXITY 10.7% | Claim |
| 11 | FAISS faiss.ai Best for: AI recommends FAISS most when buyers ask “open-source vector database alternatives to expensive managed vector search cloud services” (69.2% of those answers) | 27.6% 95% CI 18.8–38.6% 21 mentions · avg pos 8.6 first pick 0% | — | GROK 14.3%GEMINI 44.4%CHATGPT 14.3%PERPLEXITY 25% | Claim |
| 12 | OpenSearch opensearch.org Best for: AI recommends OpenSearch most when buyers ask “open-source vector database alternatives to expensive managed vector search cloud services” (53.8% of those answers) | 26.3% 95% CI 17.7–37.2% 20 mentions · avg pos 13.1 first pick 0% | — | GROK 42.9%GEMINI 14.8%CHATGPT 71.4%CLAUDE 14.3%PERPLEXITY 25% | Claim |
| 13 | Docker docker.com Best for: AI recommends Docker most when buyers ask “how do I choose a self-hosted vector database for powering a retrieval-augmented generation system” (46.2% of those answers) | 23.7% 95% CI 15.5–34.4% 18 mentions · avg pos 10.8 first pick 11.1% | — | GROK 71.4%GEMINI 37%CHATGPT 28.6%PERPLEXITY 3.6% | Claim |
| 14 | GraphQL graphql.org Best for: AI recommends GraphQL most when buyers ask “how do I choose a self-hosted vector database for powering a retrieval-augmented generation system” (53.8% of those answers) | 23.7% 95% CI 15.5–34.4% 18 mentions · avg pos 20.6 first pick 5.6% | — | GROK 71.4%GEMINI 25.9%CHATGPT 57.1%PERPLEXITY 7.1% | Claim |
| 15 | ZenML zenml.io Best for: AI recommends ZenML most when buyers ask “open-source vector database alternatives to expensive managed vector search cloud services” (46.2% of those answers) | 21.1% 95% CI 13.4–31.5% 16 mentions · avg pos 3.5 first pick 0% | — | GROK 28.6%PERPLEXITY 50% | Claim |
| 16 | Elasticsearch elastic.co Best for: AI recommends Elasticsearch most when buyers ask “which open-source vector database has the best support for filtering and hybrid search” (38.5% of those answers) | 21.1% 95% CI 13.4–31.5% 16 mentions · avg pos 18.3 first pick 0% | — | GROK 57.1%GEMINI 22.2%CHATGPT 42.9%CLAUDE 14.3%PERPLEXITY 7.1% | Claim |
| 17 | LanceDB lancedb.com Best for: AI recommends LanceDB most when buyers ask “open-source vector database alternatives to expensive managed vector search cloud services” (38.5% of those answers) | 19.7% 95% CI 12.3–30% 15 mentions · avg pos 15.3 first pick 6.7% | — | GROK 28.6%GEMINI 11.1%CHATGPT 28.6%CLAUDE 42.9%PERPLEXITY 17.9% | Claim |
| 18 | Firecrawl firecrawl.dev Best for: AI recommends Firecrawl most when buyers ask “what open-source vector database scales best for a billion-vector similarity search use case” (58.3% of those answers) | 17.1% 95% CI 10.3–27.1% 13 mentions · avg pos 4.4 first pick 7.7% | — | GROK 100%PERPLEXITY 21.4% | Claim |
| 19 | Pinecone pinecone.io Best for: AI recommends Pinecone most when buyers ask “open-source vector database alternatives to expensive managed vector search cloud services” (53.8% of those answers) | 17.1% 95% CI 10.3–27.1% 13 mentions · avg pos 6 first pick 7.7% | — | GROK 57.1%GEMINI 3.7%CHATGPT 14.3%PERPLEXITY 25% | Claim |
| 20 | Vespa vespa.ai Best for: AI recommends Vespa most when buyers ask “what open-source vector database scales best for a billion-vector similarity search use case” (33.3% of those answers) | 15.8% 95% CI 9.3–25.6% 12 mentions · avg pos 4.9 first pick 0% | — | GROK 14.3%GEMINI 11.1%CHATGPT 14.3%CLAUDE 14.3%PERPLEXITY 21.4% | Claim |
| 21 | LangChain langchain.com Best for: AI recommends LangChain most when buyers ask “how do I choose a self-hosted vector database for powering a retrieval-augmented generation system” (38.5% of those answers) | 14.5% 95% CI 8.3–24.1% 11 mentions · avg pos 14.3 first pick 0% | — | GROK 57.1%GEMINI 14.8%CHATGPT 28.6%PERPLEXITY 3.6% | Claim |
| 22 | Instaclustr instaclustr.com Best for: AI recommends Instaclustr most when buyers ask “which open-source vector database has the best support for filtering and hybrid search” (53.8% of those answers) | 13.2% 95% CI 7.3–22.6% 10 mentions · avg pos 12 first pick 0% | — | GROK 28.6%PERPLEXITY 28.6% | Claim |
| 23 | LlamaIndex llamaindex.ai Best for: AI recommends LlamaIndex most when buyers ask “how do I choose a self-hosted vector database for powering a retrieval-augmented generation system” (38.5% of those answers) | 13.2% 95% CI 7.3–22.6% 10 mentions · avg pos 15.6 first pick 0% | — | GROK 57.1%GEMINI 11.1%CHATGPT 28.6%PERPLEXITY 3.6% | Claim |
| 24 | AWS aws.amazon.com Best for: AI recommends AWS most when buyers ask “self-hosted vector database for a startup AI product vs enterprise machine learning platform — what fits each” (46.2% of those answers) | 9.2% 95% CI 4.5–17.8% 7 mentions · avg pos 12 first pick 0% | — | GROK 28.6%GEMINI 7.4%CHATGPT 14.3%CLAUDE 28.6% | Claim |
| 25 | OpenMetal openmetal.io Best for: AI recommends OpenMetal most when buyers ask “self-hosted vector database for a startup AI product vs enterprise machine learning platform — what fits each” (38.5% of those answers) | 9.2% 95% CI 4.5–17.8% 7 mentions · avg pos 16 first pick 0% | — | GROK 28.6%PERPLEXITY 17.9% | Claim |
| 26 | Zilliz zilliz.com Best for: AI recommends Zilliz most when buyers ask “open-source vector database alternatives to expensive managed vector search cloud services” (38.5% of those answers) | 7.9% 95% CI 3.7–16.2% 6 mentions · avg pos 7.2 first pick 0% | — | GROK 57.1%PERPLEXITY 7.1% | Claim |
| 27 | Liveblocks liveblocks.io Best for: AI recommends Liveblocks most when buyers ask “self-hosted vector database for a startup AI product vs enterprise machine learning platform — what fits each” (30.8% of those answers) | 6.6% 95% CI 2.8–14.5% 5 mentions first pick 0% | — | PERPLEXITY 17.9% | Claim |
| 28 | TiDB Vector Search pingcap.com Best for: AI recommends TiDB Vector Search most when buyers ask “how do I choose a self-hosted vector database for powering a retrieval-augmented generation system” (38.5% of those answers) | 6.6% 95% CI 2.8–14.5% 5 mentions first pick 0% | — | PERPLEXITY 17.9% | Claim |
| 29 | ChromaDB | 3.9% 95% CI 1.4–11% 3 mentions · avg pos 1 first pick 33.3% | — | GEMINI 7.4%CHATGPT 14.3% | Claim |
| 30 | SQLite | 3.9% 95% CI 1.4–11% 3 mentions · avg pos 2.5 first pick 33.3% | — | PERPLEXITY 10.7% | Claim |
| 31 | Zilliz Cloud | 3.9% 95% CI 1.4–11% 3 mentions · avg pos 5.7 first pick 0% | — | GROK 28.6%PERPLEXITY 3.6% | Claim |
| 32 | lakeFS lakefs.io | 3.9% 95% CI 1.4–11% 3 mentions · avg pos 9 first pick 0% | — | GROK 14.3%PERPLEXITY 7.1% | Claim |
| 33 | Qdrant Cloud qdrant.io | 3.9% 95% CI 1.4–11% 3 mentions · avg pos 9.7 first pick 0% | — | GROK 14.3%CHATGPT 14.3%PERPLEXITY 3.6% | Claim |
| 34 | Databricks databricks.com | 3.9% 95% CI 1.4–11% 3 mentions · avg pos 16.5 first pick 0% | — | GROK 14.3%CHATGPT 14.3%PERPLEXITY 3.6% | Claim |
| 35 | RediSearch | 3.9% 95% CI 1.4–11% 3 mentions · avg pos 20.5 first pick 0% | — | GEMINI 11.1% | Claim |
| 36 | Apigee cloud.google.com | 3.9% 95% CI 1.4–11% 3 mentions · avg pos 26 first pick 0% | — | GEMINI 3.7%CHATGPT 14.3%CLAUDE 14.3% | Claim |
| 37 | Azure API Management azure.microsoft.com | 3.9% 95% CI 1.4–11% 3 mentions · avg pos 27 first pick 0% | — | GEMINI 3.7%CHATGPT 14.3%CLAUDE 14.3% | Claim |
| 38 | PyTorch pytorch.org | 2.6% 95% CI 0.7–9.1% 2 mentions · avg pos 4 first pick 0% | — | GEMINI 7.4% | Claim |
| 39 | MongoDB mongodb.com | 2.6% 95% CI 0.7–9.1% 2 mentions · avg pos 28.5 first pick 0% | — | GROK 14.3%GEMINI 3.7% | Claim |
| 40 | Fastio fast.io | 2.6% 95% CI 0.7–9.1% 2 mentions first pick 0% | — | GROK 14.3%PERPLEXITY 3.6% | Claim |
| 41 | Vald | 2.6% 95% CI 0.7–9.1% 2 mentions first pick 0% | — | GEMINI 3.7%PERPLEXITY 3.6% | Claim |
| 42 | Valkey valkey.io | 2.6% 95% CI 0.7–9.1% 2 mentions first pick 0% | — | CLAUDE 14.3%PERPLEXITY 3.6% | Claim |
| 43 | TensorFlow tensorflow.org | 1.3% 95% CI 0.2–7.1% 1 mentions · avg pos 3 first pick 0% | — | GEMINI 3.7% | Claim |
| 44 | Redis-Search | 1.3% 95% CI 0.2–7.1% 1 mentions · avg pos 7 first pick 0% | — | GEMINI 3.7% | Claim |
| 45 | Redis-VSS | 1.3% 95% CI 0.2–7.1% 1 mentions · avg pos 7 first pick 0% | — | GEMINI 3.7% | Claim |
| 46 | Onyx onyx.app | 1.3% 95% CI 0.2–7.1% 1 mentions · avg pos 9 first pick 0% | — | GROK 14.3% | Claim |
| 47 | AWS Kendra | 1.3% 95% CI 0.2–7.1% 1 mentions · avg pos 18 first pick 0% | — | GEMINI 3.7% | Claim |
| 48 | Domino Data Lab | 1.3% 95% CI 0.2–7.1% 1 mentions · avg pos 28 first pick 0% | — | CHATGPT 14.3% | Claim |
| 49 | Dataiku dataiku.com | 1.3% 95% CI 0.2–7.1% 1 mentions · avg pos 29 first pick 0% | — | CHATGPT 14.3% | Claim |
| 50 | Kubeflow | 1.3% 95% CI 0.2–7.1% 1 mentions · avg pos 30 first pick 0% | — | CHATGPT 14.3% | Claim |
| 51 | Atlan atlan.com | 1.3% 95% CI 0.2–7.1% 1 mentions first pick 0% | — | PERPLEXITY 3.6% | Claim |
| 52 | DigitalOcean digitalocean.com | 1.3% 95% CI 0.2–7.1% 1 mentions first pick 0% | — | PERPLEXITY 3.6% | Claim |
| 53 | F6S f6s.com | 1.3% 95% CI 0.2–7.1% 1 mentions first pick 0% | — | PERPLEXITY 3.6% | Claim |
| 54 | OpenAlternative openalternative.co | 1.3% 95% CI 0.2–7.1% 1 mentions first pick 0% | — | PERPLEXITY 3.6% | Claim |
| 55 | ScyllaDB scylladb.com | 1.3% 95% CI 0.2–7.1% 1 mentions first pick 0% | — | GEMINI 3.7% | Claim |
| 56 | YugabyteDB yugabyte.com | 1.3% 95% CI 0.2–7.1% 1 mentions first pick 0% | — | GEMINI 3.7% | Claim |
Reading the numbers: Share is a point estimate on 76 sampled answers, so each row also shows its 95% CI — the Wilson score interval around that share. When two products' intervals overlap, the gap between them isn't statistically meaningful at this sample size. First pick is the share of a product's recommending answers where it was named first, which separates “always mentioned” from “usually the top recommendation”. Full methodology.
Independence: Orbator customers are badged for disclosure. Customer status does not affect prompts, sampling, extraction, or ranking — see the methodology. Your product on this list? Claim it to see the prompts behind your rank and track it weekly.
What AI recommends in adjacent categories — same method, fresh weekly.
Not in the answer? That's fixable.
Check Your AI Visibility →© 2026 Orbator. All rights reserved.