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docs: pypi readme image links (#26590)

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libs/community/README.md
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@ -15,7 +15,7 @@ LangChain Community contains third-party integrations that implement the base in
For full documentation see the [API reference](https://api.python.langchain.com/en/stable/community_api_reference.html). For full documentation see the [API reference](https://api.python.langchain.com/en/stable/community_api_reference.html).
![Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.](../../docs/static/svg/langchain_stack_062024.svg "LangChain Framework Overview") ![Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.](https://raw.githubusercontent.com/langchain-ai/langchain/e1d113ea84a2edcf4a7709fc5be0e972ea74a5d9/docs/static/svg/langchain_stack_062024.svg "LangChain Framework Overview")
## 📕 Releases & Versioning ## 📕 Releases & Versioning

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libs/core/README.md
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@ -53,7 +53,7 @@ LangChain Core compiles LCEL sequences to an _optimized execution plan_, with au
For more check out the [LCEL docs](https://python.langchain.com/docs/expression_language/). For more check out the [LCEL docs](https://python.langchain.com/docs/expression_language/).
![Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.](../../docs/static/svg/langchain_stack_062024.svg "LangChain Framework Overview") ![Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.](https://raw.githubusercontent.com/langchain-ai/langchain/e1d113ea84a2edcf4a7709fc5be0e972ea74a5d9/docs/static/svg/langchain_stack_062024.svg "LangChain Framework Overview")
For more advanced use cases, also check out [LangGraph](https://github.com/langchain-ai/langgraph), which is a graph-based runner for cyclic and recursive LLM workflows. For more advanced use cases, also check out [LangGraph](https://github.com/langchain-ai/langgraph), which is a graph-based runner for cyclic and recursive LLM workflows.