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@@ -21,7 +21,7 @@ learn about one of the most popular and fastest growing vector databases in the
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## What is Qdrant?
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[Qdrant](http://qdrant.tech) "is a vector similarity search engine that provides a production-ready
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[Qdrant](https://qdrant.tech) "is a vector similarity search engine that provides a production-ready
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service with a convenient API to store, search, and manage points (i.e. vectors) with an additional
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payload." You can think of the payloads as additional pieces of information that can help you
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hone in on your search and also receive useful information that you can give to your users.
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@@ -67,7 +67,7 @@ There are also various community-driven projects aimed to provide the support fo
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maintained, thus not mentioned here. However, it is still possible to interact with both engines through the HTTP REST or gRPC API.
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That makes it easy to integrate with any technology of your choice.
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If you are a Python user, then both tools are well-integrated with the most popular libraries like [LangChain](../integrations/langchain/), [LlamaIndex](../integrations/llama-index/), [Haystack](../integrations/haystack/), and more.
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If you are a Python user, then both tools are well-integrated with the most popular libraries like [LangChain](/documentation/frameworks/langchain/), [LlamaIndex](/documentation/frameworks/llama-index/), [Haystack](/documentation/frameworks/haystack/), and more.
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Using any of those libraries makes it easier to experiment with different vector databases, as the transition should be seamless.
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## Planning to migrate?
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@@ -92,6 +92,6 @@ Migrating from Pinecone to Qdrant involves a series of well-planned steps to ens
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1. If you aren't ready yet, [try out Qdrant locally](/documentation/quick-start/) or sign up for [Qdrant Cloud](https://cloud.qdrant.io/).
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2. For more basic information on Qdrant read our [Overview](overview/) section or learn more about Qdrant Cloud's [Free Tier](documentation/cloud/).
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2. For more basic information on Qdrant read our [Overview](/documentation/overview/) section or learn more about Qdrant Cloud's [Free Tier](/documentation/cloud/).
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3. If ready to migrate, please consult our [Comprehensive Guide](https://github.com/NirantK/qdrant_tools) for further details on migration steps.
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