| documentation/sections/cards-section |
Start Building |
Deploy and manage high-performance vector search clusters across cloud environments. Easily scale with fully managed cloud solutions, integrate seamlessly across hybrid setups, or maintain complete control with private cloud deployments in Kubernetes. |
documentation/cards/docs-cards |
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title |
description |
link |
| 1 |
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alt |
| /img/dev-portal-build/search.png |
Search |
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Search |
Build a simple neural search service with Qdrant and FastEmbed. Learn how to upload data, create indexes, and run search queries. |
| url |
text |
| /documentation/beginner-tutorials/hybrid-search-fastembed/ |
Read More |
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image |
title |
description |
link |
| 2 |
| src |
alt |
| /img/dev-portal-build/rag.png |
RAG |
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RAG |
Build end-to-end prototype chatbots. Learn how Qdrant integrates with popular RAG frameworks like LangChain and Llamaindex. |
| url |
text |
| /documentation/frameworks/langchain/ |
Read More |
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| id |
image |
title |
description |
link |
| 3 |
| src |
alt |
| /img/dev-portal-build/pipelines.png |
Pipelines |
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Pipelines |
Integrate Qdrant into your data infrastructure by connecting with popular data engineering tools. |
| url |
text |
| /documentation/send-data/ |
Read More |
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