Files
landing_page/qdrant-landing/config.toml
T
Abdon Pijpelink d3007ecc57 Autogenerate llms.txt file (#2556)
* Auto-render llms.txt file

* Link to llms.txt from every index.md page

* Remove outdated llms-full.txt

* Link to skills and search from Markdownified page headers
2026-07-30 17:18:49 +02:00

143 lines
4.2 KiB
TOML

baseURL = "https://qdrant.tech"
languageCode = "en-us"
title = "Qdrant - Vector Search Engine"
theme = "qdrant-2024"
enableRobotsTXT = true
canonifyURLs = true
keywords = "search engine, vector database, neural network, matching, filter, SaaS, approximate nearest neighbor search, image search, recommender system, vectors, knn algorithm, hnsw, vector search, embeddings, similarity"
disableKinds = ["taxonomy", "term"]
[params]
description = "Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API."
keywords = ["vector search engine", "neural network", "matching", "SaaS",
"approximate nearest neighbor search", "image search", "recommender system", "vectors",
"knn algorithm", "hnsw", "vector search", "embeddings", "similarity", "simaes networks",
"BERT", "transformer", "word2vec", "fasttext"]
font = "Anonymous Pro"
highlight = true
highlightStyle = "default"
highlightLanguages = ["python", "rust", "json", "bash", "http"]
yandexWebmaster = ""
logo = "/images/logo_with_text.svg"
logo_width = "192"
preview_image = "/images/social_preview.png"
# preview_images = [
# "/images/previews/social-preview-A.png",
# "/images/previews/social-preview-B.png",
# "/images/previews/social-preview-C.png",
# "/images/previews/social-preview-D.png",
# "/images/previews/social-preview-E.png",
# "/images/previews/social-preview-F.png",
# "/images/previews/social-preview-G.png",
# "/images/previews/social-preview-H.png",
# "/images/previews/social-preview-I.png",
# "/images/previews/social-preview-J.png",
# "/images/previews/social-preview-K.png",
# "/images/previews/social-preview-L.png",
# "/images/previews/social-preview-M.png",
# "/images/previews/social-preview-N.png",
# "/images/previews/social-preview-O.png",
# "/images/previews/social-preview-P.png"
# ]
github = "https://github.com/qdrant/qdrant"
quick_start = "/documentation/quick-start/"
tutorial = "/articles/neural-search-tutorial/"
benchmarks = "/benchmarks/"
demos = "/demo/"
cloud = "https://qdrant.to/cloud"
linkedin = "https://qdrant.to/linkedin"
twitter = "https://qdrant.to/twitter"
discord = "https://qdrant.to/discord"
youtube = "https://www.youtube.com/channel/UC6ftm8PwH1RU_LM1jwG0LQA"
email = "info@qdrant.tech"
location = "Berlin"
prices_contact_form = "https://share-eu1.hsforms.com/1olUNSzuRRWWXxKJevWfxiA2b46ng"
gdpr = "We use cookies to learn more about you. At any time you can delete or block cookies through your browser settings."
githubDocPrefix = "https://github.com/qdrant/landing_page/tree/master/qdrant-landing/content/"
githubIssueLink = "https://github.com/qdrant/landing_page/issues/new/choose"
docVersion = "v1.9.x"
cloudDocVersion = "v0.1.x"
segmentWriteKey = "UOgPyE2GbtD4lletUP2uWfBGQQSfkzf1"
onetrustScriptId = "0196246a-3663-7350-9a45-b65f645d6314"
[params.author]
name = "Andrey Vasnetsov"
email = "info@qdrant.tech"
[taxonomies]
tag = "tags"
category = "categories"
example = "examples"
[markup]
[markup.goldmark.renderer]
unsafe=true
[markup.highlight]
noClasses = false
codeFences=true
[markup.tableOfContents]
startLevel = 1
endLevel = 3
[related]
includeNewer = true
toLower = true
[[related.indices]]
name = "tags"
weight = 100
# Not rendering the content of the cd following files in production
[[cascade]]
[cascade.build]
list = 'never'
render = 'never'
[cascade.target]
environment = '{production}'
path = '{**.skip,**.skip/*}'
[mediaTypes."text/markdown"]
suffixes = ["md"]
[outputFormats.Markdown]
mediaType = "text/markdown"
isPlainText = true
isHTML = false
rel = "alternate"
[outputFormats.LLMs]
mediaType = "text/plain"
baseName = "llms"
isPlainText = true
isHTML = false
notAlternative = true
[outputs]
page = ["HTML", "Markdown"]
section = ["HTML", "RSS", "Markdown"]
home = ["HTML", "RSS", "LLMs"]
[services]
[services.googleAnalytics]
id = 'G-NZYW2651NE'
[server]
[server.headers]
for = '/get_anonymous_id/**'
[[server.headers.values]]
Content-Security-Policy = 'frame-ancestors https://localhost:3000'
X-Frame-Options = 'ALLOW-FROM https://localhost:3000'