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Docs:Updated langfuse guide (#7583)
### What problem does this PR solve? ### Type of change - [x] Documentation Update
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@ -151,8 +151,8 @@ Run `docker compose -f docker-compose.yml` to launch the RAGFlow server together
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#### Launch an MCP server without upgrading RAGFlow
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#### Launch an MCP server without upgrading RAGFlow
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:::tip KUDOS-TO
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:::info KUDOS
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This section is contributed by our community contributor **yiminghub2024**. 👏
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This section is contributed by our community contributor [yiminghub2024](https://github.com/yiminghub2024). 👏
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:::
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:::
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1. Prepare all MCP-specific files and directories.
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1. Prepare all MCP-specific files and directories.
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@ -5,7 +5,11 @@ slug: /text2sql_agent
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# Create a Text2SQL agent
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# Create a Text2SQL agent
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Build a Text2SQL agent leveraging RAGFlow's RAG capabilities. Contributed by @TeslaZY.
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Build a Text2SQL agent leveraging RAGFlow's RAG capabilities.
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:::info KUDOS
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This document is contributed by our community contributor [TeslaZY](https://github.com/TeslaZY). 👏
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:::
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## Scenario
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## Scenario
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@ -3,7 +3,15 @@ sidebar_position: 9
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slug: /tracing
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slug: /tracing
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---
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---
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# Observability & Tracing with Langfuse
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# Tracing
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Observability & Tracing with Langfuse.
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---
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:::info KUDOS
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This document is contributed by our community contributor [jannikmaierhoefer](https://github.com/jannikmaierhoefer). 👏
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:::
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RAGFlow ships with a built-in [Langfuse](https://langfuse.com) integration so that you can **inspect and debug every retrieval and generation step** of your RAG pipelines in near real-time.
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RAGFlow ships with a built-in [Langfuse](https://langfuse.com) integration so that you can **inspect and debug every retrieval and generation step** of your RAG pipelines in near real-time.
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@ -36,7 +44,7 @@ RAGFlow stores the credentials _per tenant_. You can configure them either via t
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3. Fill in you Langfuse **Host**, **Public Key** and **Secret Key**.
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3. Fill in you Langfuse **Host**, **Public Key** and **Secret Key**.
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4. Click **Save**.
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4. Click **Save**.
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Once saved, RAGFlow starts emitting traces automatically – no code change required.
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Once saved, RAGFlow starts emitting traces automatically – no code change required.
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@ -54,7 +62,7 @@ For every user request you will see:
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• **spans** for retrieval, ranking and generation steps
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• **spans** for retrieval, ranking and generation steps
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• the complete **prompts**, **retrieved documents** and **LLM responses** as metadata
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• the complete **prompts**, **retrieved documents** and **LLM responses** as metadata
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([Example trace in Langfuse](https://cloud.langfuse.com/project/cloramnkj0002jz088vzn1ja4/traces/0bde9629-4251-4386-b583-26101b8e7561?timestamp=2025-05-09T19%3A15%3A37.797Z&display=details&observation=823997d8-ac40-40f3-8e7b-8aa6753b499e))
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([Example trace in Langfuse](https://cloud.langfuse.com/project/cloramnkj0002jz088vzn1ja4/traces/0bde9629-4251-4386-b583-26101b8e7561?timestamp=2025-05-09T19%3A15%3A37.797Z&display=details&observation=823997d8-ac40-40f3-8e7b-8aa6753b499e))
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