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@@ -294,7 +294,7 @@ nav:
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- Choosing right query type: guides/tuning_retrievers/1_query_types.md
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- Reranking: guides/tuning_retrievers/2_reranking.md
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- Embedding fine-tuning: guides/tuning_retrievers/3_embed_tuning.md
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- - Build MCP with LanceDB: guides/mcp.md
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- Build MCP with LanceDB: guides/mcp.md
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- Managing Embeddings:
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- Understand Embeddings: embeddings/understanding_embeddings.md
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- Get Started: embeddings/index.md
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@@ -105,6 +105,19 @@ Batches: 100%|██████████████████████
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Now simply fire up claude desktop and you can start using it.
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1. If installed correctly, you'll `lancedb` in the MCP apps list
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2. You can now use the `ingest_data` tool to add data to the table. To do that, you can simply ask claude using natural language
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3. Now you can start asking questions using the `retrieve_data` tool. It'll automatically search the table for relevant data. You should see something like this
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4. Claude tries to set the params for tool calling on its own but you can also specify the details.
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## Community examples
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- Find a minimal LanceDB mcp server similar to this [here](https://github.com/kyryl-opens-ml/mcp-server-lancedb/blob/main/src/mcp_lance_db/server.py)
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