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Document MUVERA in FastEmbed docs (#2014)

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* docs: Document MUVERA in FastEmbed docs

* Improve conclusion in the MUVERA docs

* Change title to "Multi-Vector Postprocessing"

* Add doc preview
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Kacper Łukawski
2025-12-03 09:46:12 +01:00
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qdrant-landing/content/documentation/fastembed/_index.md
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@@ -13,14 +13,15 @@ FastEmbed easily integrates with Qdrant for a variety of multimodal search purpo
## Using FastEmbed
| Type | Guide | What you'll learn |
|---|-------|--------------------|
| **Beginner** | [Generate Text Embeddings](/documentation/fastembed/fastembed-quickstart/) | Install FastEmbed and generate dense text embeddings |
| | [Dense Embeddings + Qdrant](/documentation/fastembed/fastembed-semantic-search/) | Generate and index dense embeddings for semantic similarity search |
| **Advanced** | [miniCOIL Sparse Embeddings + Qdrant](/documentation/fastembed/fastembed-minicoil/) | Use Qdrant's sparse neural retriever for exact text search |
| | [SPLADE Sparse Embeddings + Qdrant](/documentation/fastembed/fastembed-splade/) | Generate sparse neural embeddings for exact text search |
| | [ColBERT Multivector Embeddings + Qdrant](/documentation/fastembed/fastembed-colbert/) | Generate and index multi-vector representations; **ideal for rescoring, or small-scale retrieval** |
| | [Reranking with FastEmbed](/documentation/fastembed/fastembed-rerankers/) | Re-rank top-K results using FastEmbed cross-encoders |
| Type | Guide | What you'll learn |
|--------------|----------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------|
| **Beginner** | [Generate Text Embeddings](/documentation/fastembed/fastembed-quickstart/) | Install FastEmbed and generate dense text embeddings |
| | [Dense Embeddings + Qdrant](/documentation/fastembed/fastembed-semantic-search/) | Generate and index dense embeddings for semantic similarity search |
| **Advanced** | [miniCOIL Sparse Embeddings + Qdrant](/documentation/fastembed/fastembed-minicoil/) | Use Qdrant's sparse neural retriever for exact text search |
| | [SPLADE Sparse Embeddings + Qdrant](/documentation/fastembed/fastembed-splade/) | Generate sparse neural embeddings for exact text search |
| | [ColBERT Multivector Embeddings + Qdrant](/documentation/fastembed/fastembed-colbert/) | Generate and index multi-vector representations; **ideal for rescoring, or small-scale retrieval** |
| | [Reranking with FastEmbed](/documentation/fastembed/fastembed-rerankers/) | Re-rank top-K results using FastEmbed cross-encoders |
| | [Postprocessing](/documentation/fastembed/fastembed-postprocessing/) | Apply postprocessing techniques to embeddings after generation |
## Why is FastEmbed useful?