Merge branch 'master' of https://github.com/qdrant/landing_page into …

…bulk-upload-optimizations

qdrant-landing/content/advanced-search/advanced-search-hero.md

@@ -3,7 +3,7 @@ title: Advanced Search
 description: Dive into next-gen search capabilities with Qdrant, offering a smarter way to deliver precise and tailored content to users, enhancing interaction accuracy and depth.
 startFree:
   text: Get Started
-  url: https://cloud.qdrant.io/
+  url: https://cloud.qdrant.io/signup
 learnMore:
   text: Contact Us
   url: /contact-us/

qdrant-landing/content/ai-agents/ai-agents-hero.md

@@ -3,13 +3,12 @@ title: AI Agents
 description: Unlock the full potential of your AI agents with Qdrant’s powerful vector search and scalable infrastructure, allowing them to handle complex tasks, adapt in real time, and drive smarter, data-driven outcomes across any environment.
 startFree:
   text: Get Started
-  url: https://cloud.qdrant.io/
+  url: https://cloud.qdrant.io/signup
 learnMore:
   text: Learn More
   url: "#ai-agents"
 image:
   src: /img/vectors/vector-4.svg
   alt: AI agents chat
 sitemapExclude: true
----
-
+---

qdrant-landing/content/articles/binary-quantization.md

@@ -228,7 +228,7 @@ If you determine that binary quantization is appropriate for your datasets and q
 
 ## What's next?
 
-Binary quantization is exceptional if you need to work with large volumes of data under high recall expectations. You can try this feature either by spinning up a [Qdrant container image](https://hub.docker.com/r/qdrant/qdrant) locally or, having us create one for you through a [free account](https://cloud.qdrant.io/login) in our cloud hosted service. 
+Binary quantization is exceptional if you need to work with large volumes of data under high recall expectations. You can try this feature either by spinning up a [Qdrant container image](https://hub.docker.com/r/qdrant/qdrant) locally or, having us create one for you through a [free account](https://cloud.qdrant.io/signup) in our cloud hosted service. 
 
 The article gives examples of data sets and configuration you can use to get going. Our documentation covers [adding large datasets to Qdrant](/documentation/tutorials/bulk-upload/) to your Qdrant instance as well as [more quantization methods](/documentation/guides/quantization/).
 

qdrant-landing/content/articles/product-quantization.md

@@ -227,4 +227,4 @@ In circumstances that do not align with the above, Scalar Quantization should be
 If you’re already a Qdrant user, we have, documentation on [Product Quantization](/documentation/guides/quantization/#setting-up-product-quantization) that will help you to set and configure the new quantization for your data and achieve even 
 up to 64x memory reduction.
 
-Ready to experience the power of Product Quantization? [Sign up now](https://cloud.qdrant.io/) for a free Qdrant demo and optimize your data management today!
+Ready to experience the power of Product Quantization? [Sign up now](https://cloud.qdrant.io/signup) for a free Qdrant demo and optimize your data management today!

qdrant-landing/content/blog/comparing-qdrant-vs-pinecone-vector-databases.md

@@ -160,14 +160,14 @@ For maximum control, security, and cost-efficiency, choose Qdrant. It offers fle
 
 Qdrant is one of the leading Pinecone alternatives in the market. For developers who seek control of their vector database, Qdrant offers the highest level of customization, flexible deployment options, and advanced security features.
 
-To get started with Qdrant, explore our [documentation](https://qdrant.tech/documentation/), hop on to our [Discord](https://qdrant.to/discord) channel, sign up for [Qdrant cloud](https://cloud.qdrant.io/) (or [Hybrid cloud](https://qdrant.tech/hybrid-cloud/)), or [get in touch](https://qdrant.tech/contact-us/) with us today.
+To get started with Qdrant, explore our [documentation](https://qdrant.tech/documentation/), hop on to our [Discord](https://qdrant.to/discord) channel, sign up for [Qdrant cloud](https://cloud.qdrant.io/signup) (or [Hybrid cloud](https://qdrant.tech/hybrid-cloud/)), or [get in touch](https://qdrant.tech/contact-us/) with us today.
 
 References:
 
 - [Pinecone Documentation](https://docs.pinecone.io/)
 - [Qdrant Documentation](https://qdrant.tech/documentation/)
 
-  - If you aren't ready yet, [try out Qdrant locally](/documentation/quick-start/) or sign up for [Qdrant Cloud](https://cloud.qdrant.io/).
+  - If you aren't ready yet, [try out Qdrant locally](/documentation/quick-start/) or sign up for [Qdrant Cloud](https://cloud.qdrant.io/signup).
 
   - For more basic information on Qdrant read our [Overview](/documentation/overview/) section or learn more about Qdrant Cloud's [Free Tier](/documentation/cloud/).
 

qdrant-landing/content/blog/hybrid-cloud-airbyte.md

@@ -53,4 +53,4 @@ Our simple Kubernetes-native design lets you deploy Qdrant Hybrid Cloud on your
 
 #### Ready to Get Started?
 
-Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). 
+Create a [Qdrant Cloud account](https://cloud.qdrant.io/signup) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). 

qdrant-landing/content/blog/hybrid-cloud-aleph-alpha.md

@@ -49,4 +49,4 @@ Our simple Kubernetes-native design lets you deploy Qdrant Hybrid Cloud on your
 
 #### Ready to Get Started?
 
-Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). 
+Create a [Qdrant Cloud account](https://cloud.qdrant.io/signup) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). 

qdrant-landing/content/blog/hybrid-cloud-cohere.md

@@ -49,4 +49,4 @@ Our simple Kubernetes-native design lets you deploy Qdrant Hybrid Cloud on your
 
 #### Ready to Get Started?
 
-Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). 
+Create a [Qdrant Cloud account](https://cloud.qdrant.io/signup) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). 

qdrant-landing/content/customers/case-studies-1.md

@@ -0,0 +1,37 @@
+---
+cases:
+- id: 0
+  logo:
+    src: /img/customers-case-studies/qa-tech.svg
+    alt:  QA.Tech Logo
+  image:
+    src: /img/customers-case-studies/case-study-image1.png
+    alt: Hands typing text on a laptop
+  title: Empowering QA.tech’s Testing Agents with Real-Time Precision and Scale
+  link:
+    text: Read Story
+    url: /blog/case-study-qatech/
+- id: 1
+  logo:
+    src: /img/customers-case-studies/kairos.svg
+    alt: Kairos Logo
+  image:
+    src: /img/customers-case-studies/case-study-image2.png
+    alt: Hand holding a smartphone
+  title: "Kairoswealth & Qdrant: Transforming Wealth Management with AI-Driven Insights and Scalable Vector Search"
+  link:
+    text: Read Story
+    url: /blog/case-study-kairoswealth/
+- id: 2
+  logo:
+    src: /img/customers-case-studies/kern-ai.svg
+    alt: Kern AI Logo
+  image:
+    src: /img/customers-case-studies/case-study-image3.png
+    alt: A man looks at a laptop screen
+  title: "Kern AI & Qdrant: Precision AI Solutions for Finance and Insurance"
+  link:
+    text: Read Story
+    url: /blog/case-study-kern/
+sitemapExclude: true
+---

qdrant-landing/content/customers/customers-case-studies.md → qdrant-landing/content/customers/case-studies-2.md

@@ -1,18 +1,4 @@
 ---
-title: Customers
-description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
-caseStudy:
-  logo:
-    src: /img/customers-case-studies/customer-logo.svg
-    alt: Logo
-  title: Recommendation Engine with Qdrant Vector Database
-  description: Dailymotion leverages Qdrant to optimize its <b>video recommendation engine</b>, managing over 420 million videos and processing 13 million recommendations daily. With this, Dailymotion was able to <b>reduced content processing times from hours to minutes</b> and <b>increased user interactions and click-through rates by more than 3x.</b>
-  link:
-    text: Read Case Study
-    url: /blog/case-study-dailymotion/
-  image:
-    src: /img/customers-case-studies/case-study.png
-    alt: Preview
 cases:
 - id: 0
   logo:

qdrant-landing/content/customers/case-study-1.md

@@ -0,0 +1,17 @@
+---
+title: Customers
+description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
+caseStudy:
+  logo:
+    src: /img/customers-case-studies/customer-logo1.svg
+    alt: Logo
+  title: How Sprinklr Leverages Qdrant to Enhance AI-Driven Customer Experience Solutions
+  description: Sprinklr uses Qdrant to enhance its AI-driven customer experience management platform, improving data retrieval speed, efficiency, and <b>reducing costs by 30%</b>. This integration has also boosted developer productivity and ensured superior search performance across their AI applications.
+  link:
+    text: Read Case Study
+    url: /blog/case-study-sprinklr/
+  image:
+    src: /img/customers-case-studies/case-study1.png
+    alt: Preview
+sitemapExclude: true
+---

qdrant-landing/content/customers/case-study-2.md

@@ -0,0 +1,17 @@
+---
+title: Customers
+description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
+caseStudy:
+  logo:
+    src: /img/customers-case-studies/customer-logo2.svg
+    alt: Logo
+  title: "Voiceflow & Qdrant: Powering No-Code AI Agent Creation with Scalable Vector Search"
+  description: Voiceflow enables enterprises to create AI agents in a no-code environment by designing workflows. Qdrant's features and infrastructure provided Voiceflow with a stable, scalable, and efficient solution for their data processing and retrieval needs.
+  link:
+    text: Read Case Study
+    url: /blog/case-study-voiceflow/
+  image:
+    src: /img/customers-case-studies/case-study2.png
+    alt: Preview
+sitemapExclude: true
+---

qdrant-landing/content/customers/case-study-3.md

@@ -0,0 +1,17 @@
+---
+title: Customers
+description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
+caseStudy:
+  logo:
+    src: /img/customers-case-studies/customer-logo3.svg
+    alt: Logo
+  title: "Nyris & Qdrant: How Vectors are the Future of Visual Search"
+  description: Nyris offers visual search solutions for various industries, using vector-based technology to quickly identify products. They selected Qdrant for its speed, accuracy, and scalability, advancing their vision of transforming product search with unified vector representations.
+  link:
+    text: Read Case Study
+    url: /blog/case-study-nyris/
+  image:
+    src: /img/customers-case-studies/case-study3.png
+    alt: Preview
+sitemapExclude: true
+---

qdrant-landing/content/customers/case-study-4.md

@@ -0,0 +1,17 @@
+---
+title: Customers
+description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
+caseStudy:
+  logo:
+    src: /img/customers-case-studies/customer-logo4.svg
+    alt: Logo
+  title: Recommendation Engine with Qdrant Vector Database
+  description: Dailymotion leverages Qdrant to optimize its <b>video recommendation engine</b>, managing over 420 million videos and processing 13 million recommendations daily. With this, Dailymotion was able to <b>reduced content processing times from hours to minutes</b> and <b>increased user interactions and click-through rates by more than 3x.</b>
+  link:
+    text: Read Case Study
+    url: /blog/case-study-dailymotion/
+  image:
+    src: /img/customers-case-studies/case-study4.png
+    alt: Preview
+sitemapExclude: true
+---

qdrant-landing/content/customers/customers-testimonial-3.md

@@ -0,0 +1,13 @@
+---
+review: “Vector stores are definitely here to stay, the objects in the world around us from image, sound, video and text become easily universal and searchable thanks to the embedding models and vector stores. I personally recommend Qdrant. We have been using it for a while and couldn’t be happier.”
+names: Hooman Sedghamiz
+positions: Director AI/ML, Bayer
+avatar:
+  src: /img/customers/hooman-sedghamiz.svg
+  alt: Hooman Sedghamiz Avatar
+logo:
+  src: /img/brands/bayer.svg
+  alt: Logo
+sitemapExclude: true
+---
+

qdrant-landing/content/data-analysis/data-analysis-hero.md

@@ -3,7 +3,7 @@ title: Data Analysis and Anomaly Detection
 description: Explore entity matching for deduplication and anomaly detection with Qdrant, leveraging neural networks while still being fast and affordable in your applications for insights hard to get in other ways.
 startFree:
   text: Get Started
-  url: https://cloud.qdrant.io/
+  url: https://cloud.qdrant.io/signup
 learnMore:
   text: Contact Us
   url: /contact-us/

qdrant-landing/content/documentation/advanced-tutorials/pdf-retrieval-at-scale.md

@@ -250,15 +250,15 @@ mask = processed_images.input_ids[0] == model_processor.image_token_id
 #   and reshape them to (x_patches, y_patches, dim)
 
 # (x_patches, y_patches, 128)
-image_tokens = image_embedding[mask].view(x_patches, y_patches, model.dim)
+image_patch_embeddings = image_embedding[mask].view(x_patches, y_patches, model.dim)
 
 # Now we can apply mean pooling by rows and columns
 
 # (x_patches, 128)
-pooled_by_rows = image_tokens.mean(dim=0)
+pooled_by_rows = image_patch_embeddings.mean(dim=0)
 
 # (y_patches, 128)
-pooled_by_columns = image_tokens.mean(dim=1)
+pooled_by_columns = image_patch_embeddings.mean(dim=1)
 
 # [Optionally] we can also concatenate special tokens to the pooled representations, 
 # For ColPali, it's only postfix

qdrant-landing/content/documentation/agentic-rag-crewai-zoom.md

@@ -87,7 +87,7 @@ The system is built on three main components:
 ![agentic-rag-crewai-zoom](/documentation/examples/agentic-rag-crewai-zoom/agentic-rag-2.png)
 
 1. **Get API Credentials for Qdrant**:
-   - Sign up for an account at [Qdrant Cloud](https://cloud.qdrant.io/).
+   - Sign up for an account at [Qdrant Cloud](https://cloud.qdrant.io/signup).
    - Create a new cluster and copy the **Cluster URL** (format: https://xxx.gcp.cloud.qdrant.io).
    - Go to **Data Access Control** and generate an **API key**.