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75 lines
2.0 KiB
Markdown
75 lines
2.0 KiB
Markdown
---
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title: Qdrant Blog
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subtitle: Check out our latest posts
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short_description: "News, releases, customer stories, and engineering posts from the Qdrant team on vector search, RAG, and AI agents."
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description: A place to learn how to become an expert traveler through vector space. Subscribe and we will update you on features and news.
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email_placeholder: Enter your email
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subscribe_button: Subscribe
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features_title: Features and News
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search_placeholder: What are you Looking for?
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aliases: # There is no need to add aliases for future new tags and categories!
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- /tags
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- /tags/case-study
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- /tags/dailymotion
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- /tags/recommender-system
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- /tags/binary-quantization
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- /tags/embeddings
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- /tags/openai
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- /tags/gsoc24
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- /tags/open-source
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- /tags/summer-of-code
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- /tags/vector-database
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- /tags/artificial-intelligence
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- /tags/machine-learning
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- /tags/vector-search
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- /tags/case_study
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- /tags/dust
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- /tags/announcement
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- /tags/funding
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- /tags/series-a
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- /tags/azure
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- /tags/cloud
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- /tags/data-science
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- /tags/information-retrieval
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- /tags/benchmarks
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- /tags/performance
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- /tags/qdrant
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- /tags/blog
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- /tags/large-language-models
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- /tags/podcast
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- /tags/retrieval-augmented-generation
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- /tags/search
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- /tags/vector-search-engine
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- /tags/vector-image-search
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- /tags/vector-space-talks
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- /tags/retriever-ranker-architecture
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- /tags/semantic-search
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- /tags/llm
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- /tags/entity-matching-solution
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- /tags/real-time-processing
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- /tags/vector-space-talk
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- /tags/fastembed
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- /tags/quantized-emdedding-models
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- /tags/llm-recommendation-system
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- /tags/integrations
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- /tags/unstructured
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- /tags/integration
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- /tags/n8n
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- /tags/news
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- /tags/webinar
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- /tags/cohere
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- /tags/embedding-model
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- /tags/database
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- /tags/vector-search-database
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- /tags/neural-networks
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- /tags/similarity-search
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- /tags/embedding
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- /tags/corporate-news
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- /tags/nvidia
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- /categories
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- /categories/news
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- /categories/vector-search
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- /categories/webinar
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- /categories/vector-space-talk
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---
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