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* initial commit; fixed anchor links on internal docs pages * add back in absolute paths for links in code comments * fix: update linkchecker include filter to match server port 1314 PR #1629 changed the Hugo server to port 1314 but forgot to update the --include filter, which still matched port 1313. This caused all links to be excluded, making the checker a no-op (0 checked, 82277 excluded). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fix url rewrite regex so images are not impacted * Fix links from non-documentation pages * Fix broken links * more broken links * more broken links * broken link * Add srcset width descriptor to .lycheeignore * Ignore URLs that contain a % character * Anchor regex so it matches the entire URL --------- Co-authored-by: kanungle <neil.kanungo@gmail.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Abdon Pijpelink <abdon.pijpelink@qdrant.com>
63 lines
3.2 KiB
Markdown
63 lines
3.2 KiB
Markdown
---
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image:
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src: /img/ai-agents-dashboard-cloud.png
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alt: Dashboard cloud
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title: AI Agents with Qdrant
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description: AI agents powered by Qdrant leverage advanced vector search to access and retrieve high-dimensional data in real-time, enabling intelligent, Agentic-RAG driven, multi-step decision-making across dynamic environments.
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cases:
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- id: 0
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title: Multimodal Data Handling
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description: Qdrant enables AI agents to process and retrieve high-dimensional vectors from diverse data types (text, images, audio), supporting more comprehensive decision-making in multimodal environments.
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- id: 1
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title: Adaptive Learning
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description: Qdrant supports continuous learning by enabling efficient vector retrieval and updates, allowing agents to learn and evolve based on real-time interactions and new data points.
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featuresTitle: Qdrant equips AI agents to adapt, learn, and collaborate efficiently.
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features:
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- id: 0
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icon:
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src: /icons/outline/precision-blue.svg
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alt: Precision
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title: Contextual Precision
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description: Qdrant’s hybrid search combines semantic vector search, lexical search, and metadata filtering, enabling AI Agents to retrieve highly relevant and contextually precise information. This enhances decision-making by allowing agents to leverage both meaning-based and keyword-based strategies, ensuring accuracy and relevance for complex queries in dynamic environments.
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link:
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text: Hybrid Search
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url: /articles/hybrid-search/
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- id: 1
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icon:
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src: /icons/outline/multitenancy-blue.svg
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alt: Multitenancy
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title: Multi-Agent Systems
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description: Qdrant’s scalability and multitenancy ensures that multiple agents can collaborate in distributed systems, enabling seamless coordination and communication - key for Agentic RAG workflows.
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link:
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text: Multitenancy
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url: /articles/multitenancy/
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- id: 2
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icon:
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src: /icons/outline/time-blue.svg
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alt: Time
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title: Real Time Decision Making
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description: Qdrant’s real-time, advanced vector search enables AI agents to act instantly on live data, which is crucial for time-sensitive, autonomous decision-making.
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link:
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text: HNSW
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url: /articles/filterable-hnsw/
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- id: 3
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icon:
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src: /icons/outline/server-rack-blue.svg
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alt: Server rack
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title: Optimized CPU Performance for Embedding Processing
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description: Qdrant’s architecture is optimized for high-throughput embedding processing, minimizing CPU load and preventing performance bottlenecks. This enables AI agents in Agentic RAG workflows to execute complex, multi-step tasks efficiently, ensuring smooth operation even at scale.
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link:
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text: Distributed Deployment
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url: /documentation/operations/distributed_deployment/
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- id: 4
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icon:
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src: /icons/outline/speedometer-blue.svg
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alt: Speedometer
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title: Semantic Cache for Rapid Query Handling
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description: Qdrant enhances AI agent efficiency with semantic caching, which preserves results of queries based on semantic equivalence rather than exact matches. This method reduces query processing times and system load by reusing previously computed answers, essential for high-throughput AI applications.
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link:
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text: Semantic Cache
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url: /articles/semantic-cache-ai-data-retrieval/
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sitemapExclude: true
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---
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