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timvisee
reviewed
Jul 12, 2024
davidmyriel
approved these changes
Jul 12, 2024
generall
reviewed
Jul 12, 2024
| @@ -20,7 +20,7 @@ keywords: | |||
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| Qdrant is built to handle typical scaling challenges: high throughput, low latency and efficient indexing. **Binary quantization (BQ)** is our latest attempt to give our customers the edge they need to scale efficiently. This feature is particularly excellent for collections with large vector lengths and a large number of points. | |||
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| Our results are dramatic: Using BQ will reduce your memory consumption and improve retrieval speeds by up to 40x. | |||
generall
reviewed
Jul 12, 2024
| @@ -132,7 +132,7 @@ into account. Those models are usually trained on clickstream data of a real app | |||
| very business-specific. Thus, we'll not cover them right now, as there is a more general approach. We will | |||
| use so-called **cross-encoder models**. | |||
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| Cross-encoder takes a pair of texts and predicts the similarity of them. Unlike embedding models, | |||
| Cross-encoder takes a pair of texts and predicts the similarity of them. Unlike [embedding models](/articles/fastembed/), | |||
generall
reviewed
Jul 12, 2024
| @@ -8,7 +8,7 @@ weight: 1 | |||
| | Time: 30 min | Level: Beginner | Output: [GitHub](https://github.com/qdrant/qdrant_demo/tree/sentense-transformers) | [](https://colab.research.google.com/drive/1kPktoudAP8Tu8n8l-iVMOQhVmHkWV_L9?usp=sharing) | | |||
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| This tutorial shows you how to build and deploy your own neural search service to look through descriptions of companies from [startups-list.com](https://www.startups-list.com/) and pick the most similar ones to your query. The website contains the company names, descriptions, locations, and a picture for each entry. | |||
| This tutorial shows you how to build and deploy your own [neural search](/articles/neural-search-tutorial/) service to look through descriptions of companies from [startups-list.com](https://www.startups-list.com/) and pick the most similar ones to your query. The website contains the company names, descriptions, locations, and a picture for each entry. | |||
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this is the link to outdated tutorial
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@kartik-gupta-ij lets pause this one until things are sorted with the SEO agency. Thanks |
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