# Use Cases

> End-to-end recipes for hybrid BM25 + dense search, ColBERT reranking, and multimodal OCR-free RAG.

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LLMS index: [llms.txt](/llms.txt)

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| Title | Description | Link | Code |
|-------|-------------|------|------|
| Hybrid search with Postgres Native BM25 and VectorChord | This article explores how to implement Hybrid Search in Postgres using [VectorChord-bm25](https://github.com/pgsty/vchord_bm25) for keyword-based retrieval and [VectorChord](https://github.com/pgsty/vchord) for semantic search. | [Hybrid Search](/docs/use-case/hybrid-search/) | [Github Repo](https://github.com/xieydd/vectorchord-hybrid-search) |
| Supercharge vector search with ColBERT rerank in PostgreSQL | This blog will demonstrate using the PostgreSQL extension [VectorChord](https://github.com/pgsty/vchord) and pgvector with ColBERT rerank. | [ColBERT Rerank](/docs/use-case/colbert-rerank/) | [Github Repo](https://github.com/kemingy/vectorchord-colbert) |
| Beyond Text: Unlock OCR-Free RAG in PostgreSQL with Modal & VectorChord | This post is your guide to building exactly that: an **OCR-free RAG system** directly within your familiar PostgreSQL database. We'll leverage the power of the **ColQwen2** Vision Language Model, the efficiency of **VectorChord** for multi-vector search in Postgres, and the scalability of **Modal** for GPU-powered embedding generation. | [OCR-Free RAG](/docs/use-case/colqwen2-modal/) | [Github Repo](https://github.com/xieydd/vectorchord-colqwen2) |

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Section pages:

- [Hybrid search with Postgres Native BM25 and VectorChord](/docs/use-case/hybrid-search/): In the era of RAG (Retrieval-Augmented Generation), efficiently retrieving relevant data from vast datasets is crucial for businesses and developers. Traditiona
- [Supercharge vector search with ColBERT rerank in PostgreSQL](/docs/use-case/colbert-rerank/): Traditional vector search methods typically employ sentence embeddings to locate similar content. However, generating sentence embeddings through pooling token
- [Beyond Text: Unlock OCR-Free RAG in PostgreSQL with Modal & VectorChord](/docs/use-case/colqwen2-modal/): Building effective Retrieval-Augmented Generation (RAG) systems for documents often feels like wrestling with messy, complex pipelines. Especially when dealing

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Backlinks:

- [Quick Start](/cloud/getting-started/quick-start/)