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Scaleway x Langchain x: RAPTOR for RAG #800

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1 change: 1 addition & 0 deletions qdrant-landing/content/documentation/tutorials/_index.md
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Expand Up @@ -28,4 +28,5 @@ These tutorials demonstrate different ways you can build vector search into your
| [Measure retrieval quality](../tutorials/retrieval-quality/) | Measure and fine-tune the retrieval quality | Qdrant, Python, datasets |
| [Use semantic search to navigate your codebase](../tutorials/code-search/) | Implement semantic search application for code search task | Qdrant, Python, sentence-transformers, Jina |
| [Implement custom connector for Cohere RAG](../tutorials/cohere-rag-connector/) | Bring data stored in Qdrant to Cohere RAG | Qdrant, Cohere, FastAPI |
| [Implement RAPTOR with RAG](../tutorials/raptor-langchain.md) | Implement RAPTOR with RAG for code docs RAG | Qdrant, Python, OpenAI |
| [Troubleshooting](../tutorials/common-errors/) | Solutions to common errors and fixes | Qdrant |
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