Index › GTM › Products › LangChain · November 2026 Edition
Knowledge base and self-service · Named, not ranked

LangChain

LangChain is an open framework for building AI applications such as agents, assistants and voice agents · langchain.com ↗

–Too few to rank
1/14Models named it
0First choices
2Warnings
November 2026 Edition · all company sizes counted.
Ranked inKnowledge base and self-service #96 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. LangChain has 1.

Why models recommend it

No positive label carried a quote.

What gives them pause

“Unvetted RAG ... (e.g., basic LangChain setups or unpatched vector DBs ...): Why cautious: Prone to "poisoning" attacks”Grok 4.20 · Negative question · warning

Also on the shortlist

The products named in the same answers as LangChain, over the 2 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named LangChain came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 2 of the 2 answers that named LangChain and are not a share of its labels.

Domains cited

ai.gov.uk1
canada.ca1
cmswire.com1
dailystory.com1
dojoai.com1
gane.ai/indexpublisher (Gane)1
groenewold-it.solutions1
gryphon.ai1
improvado.io1
logarithmic.com1

Nine of the ten domain citations in answers naming LangChain came from a third party's page. One was to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on LangChain across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000011
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

What it publishes

Addresses on langchain.com
2,287
subdomains included
Content
665
counted in the table below
Documentation
1,565
Product · Integration
0 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog5591382026-09-28
Glossary or explainer3332026-09-07
Webinar or virtual event1762026-09-22
Case study14undated
Template or tool1402026-03-27
Conference or event1212026-08-26
Comparison1222026-09-10
Report or ebook2undated
Podcast or video202026-06-25
How it is countedHide how it is counted

Every page langchain.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.