Integrations - Qdrant

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What is Qdrant?

Vector Search Basics
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Semantic Search 101
Neural Search Service
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Asynchronous API
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Aleph Alpha Search
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LangChain
LlamaIndex
DocArray
Haystack
txtai
Cheshire Cat
FiftyOne
Cohere
Jina Embeddings
OpenAI
Aleph Alpha
Airbyte
MindsDB
Autogen
DLT
Apache Spark
Stanford DSPy
PrivateGPT
ML6 Fondant

Support

Fundamentals
Database Optimization

Community links

Docs version: v1.6.x

Integration Instructions	Examples
AlephAlpha	Multimodal Search
Cohere	Adaptive Q&A Engine
DocArray
FiftyOne
Haystack
LangChain
LlamaIndex	Adaptive Q&A Engine
OpenAI
txtai

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Latest Publications

Qdrant 1.6 brings recommendations strategies and more flexibility to the Recommendation API.

Why vector search requires to be a dedicated service.

FastEmbed: Quantized Embedding models for fast CPU Generation

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