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Pinecone

Stores and retrieves vector embeddings at scale for retrieval-augmented generation and agent knowledge systems.

Retrieval (RAG)Vector databaseRAGAPI
pinecone.io ↗WikidataCrunchbaseGitHubXLinkedInYouTubeWikidata
Atlas Readinesssweptswept 2026-09-15

76/100

#4 of 16 rated Retrieval (RAG) tools#98 of 537 in the Atlas
  • Entity15/25
  • Machine-readable29.1/35
  • Retrieval access17/20
  • Footprintnot read
out of 80 of 100 points — footprint not read
Against the fieldsweptreadiness, out of 100
  • Pinecone76
  • Retrieval (RAG) medianof 16 rated70
  • Atlas medianof 537 rated61
What the sweep readsweptswept 2026-09-15
  • Retrieval botspartialverify

    Whether the bots that decide citations are let in. Training bots are a separate list and are not counted here.

  • llms.txtyesverify

    A plain-text index at /llms.txt. Optional; read by some tools.

  • Organization schemayes

    schema.org Organization markup on the homepage, which is what a resolver reads a company's name and links from.

  • Wikidata itemQ120549587

    Matched on the official website, never on the name. The substrate under the knowledge graph an engine resolves names against.

  • Server-rendered words686swept

    What a reader without JavaScript receives from the homepage.

  • Identity score83/100swept

    The analyzer's crawl-only section, 0-100: identity files, schema, crawler policy, sitemap. Not the analyzer score.

Position in Retrieval (RAG)swept15 swept

83/100

identity score

0identity score, 0-100100
60th percentile of 15 · median 83
Similar toolssweptRetrieval (RAG) · nearest readiness

Not measured with the analyzer.

The full run asks four engines about this company by name. It runs on request, not on a schedule.

Questions this page answers
  • What is Pinecone?

    Stores and retrieves vector embeddings at scale for retrieval-augmented generation and agent knowledge systems.

  • What is Pinecone's Atlas Readiness?

    76 of 100 on 2026-09-15, computed from four parts — entity, machine-readable, retrieval access, footprint — out of 80 of 100 points — footprint not read. It places #4 of 16 rated Retrieval (RAG) tools.

  • Does Pinecone let AI retrieval bots in?

    Partly. On 2026-09-15, pinecone.io fenced some paths from retrieval crawlers.

  • Does Pinecone publish an llms.txt?

    Yes: pinecone.io/llms.txt was present on 2026-09-15.

  • Is Pinecone a Wikidata entity?

    Yes: Q120549587, matched on its official website.

How to read a row

swept
Read by a crawler: HTTP and parsing, no model call. Every row, every week.
measured
The full analyzer run, asked of four engines. Shown only where the company agreed to show it.

Can a retrieval engine find, resolve and quote this site? Four parts, each read by the sweep, each shown beside the total.

Entity 25 · Machine-readable 35 · Retrieval access 20 · Footprint 20

A part that was never read is left out and the total is rescaled to what was. It is never counted as zero.

Measure your own site →