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Elastic lucene lp (#2013)
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‎qdrant-landing/content/elastic-lucene/_index.md‎

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---
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title: "Building production vector search shouldn’t be so hard."
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description: "We asked our users building vector search why they moved to Qdrant
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from Elastic, Opensearch or another Lucene-based search engine."
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url: /lp/lucene
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build:
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render: always
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cascade:
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- build:
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list: local
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publishResources: false
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render: never
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---

‎qdrant-landing/content/elastic-lucene/elastic-lucene-callout.md‎

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---
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title: Worried you'll <b>collapse</b> under real production load?
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description: <p>Qdrant is the AI retrieval engine built to handle dense, hybrid, and AI-native workloads at a size and performance that legacy systems were never built for.</p><p>No JVM garbage-collection pauses, no 3 a.m. reindex job.</p>
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image:
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src: /img/elastic-lucene/callout.png
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alt: Preview
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sitemapExclude: true
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---
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‎qdrant-landing/content/elastic-lucene/elastic-lucene-features.md‎

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---
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title: Check Out Our Most Powerful Features
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features:
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- id: 0
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icon:
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src: /icons/outline/search-blue.svg
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alt: Hybrid Search icon
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description: Build a search system by combining different search methods to improve retrieval quality
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link:
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text: Read about 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/slow-blue.svg
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alt: Multivector Support icon
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description: Avoid RAM overhead, slow inserts, and wasted compute by effectively using multivector representations.
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link:
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text: Read about Multivector Support
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url: /documentation/advanced-tutorials/using-multivector-representations/
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- id: 2
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icon:
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src: /icons/outline/multitenancy-blue.svg
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alt: Multitenancy icon
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description: Properly use a multitenant architecture to scale your product.
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link:
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text: Read about Multitenancy
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url: /articles/multitenancy/
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sitemapExclude: true
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---
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‎qdrant-landing/content/elastic-lucene/elastic-lucene-form.md‎

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---
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title: We'll Help You Benchmark
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content: <p>If you have a production use case, run a side-by-side benchmark on your own index to measure latency, RAM footprint, and throughput before you decide.</p><p>Our team of Solution Architects will help you test feasibility, latency, and cost.</p><p>No strings attached, no commitment. Performance that speaks for itself.</p>
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image:
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src: /img/elastic-lucene/astronaut-holding-cube.png
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form:
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fallback:
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text: "There is a form here, but unfortunately it is blocked on your side. Please check your browser settings, or try with a different browser."
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# browsers also block external forms, so check if content is available
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# on the fallback page before showing the button
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# link: /
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# buttonText: Click Here
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sitemapExclude: true
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---

‎qdrant-landing/content/elastic-lucene/elastic-lucene-get-started.md‎

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---
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title: Build with Qdrant Cloud
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description: |
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Spin up a managed cluster in minutes, optimized for vector-heavy, real-time AI workloads.
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No more overprovisioning. No more reindexing. No more latency surprises.
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button:
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url: https://cloud.qdrant.io/
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text: Try Now
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target: blank
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image:
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src: /img/database.svg
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alt: Qdrant Cloud
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sitemapExclude: true
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---

‎qdrant-landing/content/elastic-lucene/elastic-lucene-hero.md‎

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---
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title: Building production vector search shouldn’t be so hard.
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description: "We asked our users building vector search why they moved to Qdrant from Elastic, Opensearch or another Lucene-based search engine. Here’s what they tell us:"
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quotes:
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- Unacceptably slow queries with vector search
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- Endless indexing jobs
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- Overspending on over-provisioned memory
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- Brittle hybrid search
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closingText: Lucene-based architectures just aren't built for scaling vector search.
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startFree:
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text: Get Started
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url: https://cloud.qdrant.io/signup
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learnMore:
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text: Contact Us
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url: /contact-us/
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image:
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src: /img/elastic-lucene/astronaut-broken-elastic.png
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alt: Retrieval Augmented Generation
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sitemapExclude: true
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---
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‎qdrant-landing/content/elastic-lucene/elastic-lucene-lessons.md‎

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---
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title: "Learn How To Use Top Features with<br> Hands-On Lessons"
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lessons:
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- title: Out of the Box Hybrid Search
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description: Meet every searcher's needs with hybrid search in Qdrant. Combine dense and sparse vectors, apply Reciprocal Rank Fusion (RRF), and build complex multi-stage pipelines, all in a single call with the Universal Query API.
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link:
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text: Learn how to fuse precision and meaning in your search
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url: /course/essentials/day-3/hybrid-search/
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imageLeft:
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src: /img/elastic-lucene/preview-empty-part.png
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imageMiddle:
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src: /img/elastic-lucene/hybrid-search-preview.png
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alt: Hybrid Search Course
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imageRight:
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src: /img/elastic-lucene/preview-day4-part.png
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- title: Multivector Mastery
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description: Qdrant supports token-level precision with multivector fields for ColBERT-style late interaction. Compare query and document tokens via MaxSim scoring for sharper relevance, ideal for complex text and visual documents with ColPali.
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link:
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text: Learn how to use multivectors in your next Qdrant collection
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url: /course/essentials/day-5/colbert-multivectors/
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imageLeft:
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src: /img/elastic-lucene/preview-empty-part.png
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imageMiddle:
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src: /img/elastic-lucene/multivector-preview.png
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alt: Hybrid Search Course
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imageRight:
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src: /img/elastic-lucene/preview-day6-part.png
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sitemapExclude: true
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---
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‎qdrant-landing/content/elastic-lucene/elastic-lucene-migration.md‎

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---
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title: Move Beyond Elastic Without Rebuilding
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headerTitle: |
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Ready to Build
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Vector Search the Right Way?
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subtitle: Seamlessly Bring Your Data to Qdrant with our Migration Tool.
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description: Migrating from Elastic's Lucene-based stack doesn't have to mean starting over. Our Migration Tool lets you stream your existing vector data directly into Qdrant, live, fast, and with zero downtime. It works even while data is being inserted, supports reconfiguration, and eliminates the headaches of reindexing or overprovisioning.
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descriptionSecond: Modernize your retrieval layer in hours, not weeks.
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image:
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src: /img/elastic-lucene/migration-tool-illustration.png
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alt: Migration Tool Illustration
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button:
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text: Migrate Now
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url: /documentation/database-tutorials/migration/
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sitemapExclude: true
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---
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‎qdrant-landing/content/elastic-lucene/elastic-lucene-optimization.md‎

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---
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title: Qdrant Can Optimize
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features:
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- id: 0
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icon:
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src: /icons/outline/rocket-blue.svg
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alt: Rocket
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title: Latency
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description: Build lightning fast, massive AI applications on our Rust powered, native vector search engine.
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- id: 1
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icon:
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src: /icons/outline/time-blue.svg
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alt: Stopwatch
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title: Ingestion Speed
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description: Qdrant ingests millions of vectors/minute while staying queryable.
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- id: 2
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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: Memory Provisioning
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description: Stop over provisioning RAM to avoid failed index merges. Using Rust, Qdrant gives you more control over memory.
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- id: 3
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icon:
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src: /icons/outline/scale-blue.svg
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alt: Scale
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title: Scaling
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description: Continue to meet your search KPIs at scale for speed, accuracy and cost with our vector-first features (e.g. native multi-vector).
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sitemapExclude: true
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---
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‎qdrant-landing/content/elastic-lucene/why-qdrant.md‎

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---
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title: Why Teams Build Qdrant Alongside Elastic
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description: You don't have to rip anything out.
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descriptionSecond: Most teams start by adding Qdrant next to their existing stack to handle new dense or hybrid workloads … the ones Elastic can't keep up with.
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testimonial:
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logo:
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src: /img/elastic-lucene/sprinklr.svg
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alt: Sprinklr Logo
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text: Using Qdrant, Sprinklr achieved 90% faster write time, 80% faster latency, 2.5x higher RPS than with Elastic.
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link:
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text: Read More
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url: /blog/case-study-sprinklr/
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sitemapExclude: true
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---
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