mirror of
https://github.com/qdrant/landing_page.git
synced 2026-09-27 15:08:30 +02:00
69 lines
1.8 KiB
TOML
69 lines
1.8 KiB
TOML
baseURL = "https://qdrant.tech/"
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languageCode = "en-us"
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title = "Qdrant - Vector Search Engine"
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theme = "qdrant"
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googleAnalytics = ""
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enableRobotsTXT = true
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canonifyURLs = true
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keywords = "search engine, neural network, matching, filter, SaaS, approximate nearest neighbor search, image search, recommender system, vectors, knn algorithm, hnsw, vector search, embeddings, similarity"
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[params]
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author = "Andrey Vasnetsov"
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description = "Qdrant - Open-Source Vector Search Engine"
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keywords = ["search engine", "neural network", "matching", "filter", "SaaS",
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"approximate nearest neighbor search", "image search", "recommender system", "vectors",
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"knn algorithm", "hnsw", "vector search", "embeddings", "similarity", "simaes networks",
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"BERT", "transformer", "word2vec", "fasttext"]
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font = "Anonymous Pro"
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highlight = true
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highlightStyle = "monokailight"
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highlightLanguages = ["python", "rust", "json", "bash"]
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yandexWebmaster = ""
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logo = "/images/logo_v3_small.png"
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logo_white = "/images/logo_v3_small_white.png"
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logo_width = "192"
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github = "https://github.com/qdrant/qdrant"
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quick_start = "https://github.com/qdrant/qdrant#usage"
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tutorial = "/404.html"
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linkedin = "#"
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telegram = "https://t.me/neural_network_engineering"
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email = "info@qdrant.tech"
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location = "Berlin"
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[menu]
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[[menu.main]]
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identifier = "use-case"
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name = "Use cases"
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weight = -100
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url = "/use-cases/"
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[[menu.main]]
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identifier = "solutions"
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name = "Solutions"
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weight = -90
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url = "/solutions/"
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[[menu.main]]
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identifier = "documentation"
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name = "Documentation"
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weight = -80
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url = "https://github.com/qdrant/qdrant#usage"
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[[menu.main]]
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identifier = "articles"
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name = "Articles"
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weight = -70
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url = "#articles"
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