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Qdrant
RAG and search

Scalable PDF Retrieval with Cohere Embed 5 and Qdrant Asymmetric Quantization

Our short summary of Qdrant’s engineering write-up. The full story, with all the detail, is on their blog.

Read the full write-up on qdrant.tech (opens in a new tab)

Problem

Searching PDF pages with images and complex layouts was slow and missed visual information.

Solution

They used Cohere Embed 5 to turn each PDF page image into a single dense vector and stored it in Qdrant with asymmetric quantization for fast, scalable retrieval.

Research behind this, on AI Papers DailyContextual Embeddings Beyond the Gold Chunk
+ Suggest a write-up

Want the architecture, code and numbers? They’re in the original post.

Read the full write-up on qdrant.tech (opens in a new tab)

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