docs[patch]: Increase v0.1 banner size (#23072)

CC @hwchase17
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Jacob Lee 2024-06-18 02:34:35 -07:00 committed by GitHub
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6 changed files with 11 additions and 10 deletions

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@ -45,9 +45,6 @@ generate-files:
wget -q https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md -O $(INTERMEDIATE_DIR)/langserve.md
$(PYTHON) scripts/resolve_local_links.py $(INTERMEDIATE_DIR)/langserve.md https://github.com/langchain-ai/langserve/tree/main/
wget -q https://raw.githubusercontent.com/langchain-ai/langgraph/main/README.md -O $(INTERMEDIATE_DIR)/langgraph.md
$(PYTHON) scripts/resolve_local_links.py $(INTERMEDIATE_DIR)/langgraph.md https://github.com/langchain-ai/langgraph/tree/main/
copy-infra:
mkdir -p $(OUTPUT_NEW_DIR)
cp -r src $(OUTPUT_NEW_DIR)

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@ -34,7 +34,7 @@ Concretely, the framework consists of the following open-source libraries:
- **`langchain-community`**: Third party integrations.
- Partner packages (e.g. **`langchain-openai`**, **`langchain-anthropic`**, etc.): Some integrations have been further split into their own lightweight packages that only depend on **`langchain-core`**.
- **`langchain`**: Chains, agents, and retrieval strategies that make up an application's cognitive architecture.
- **[langgraph](/docs/langgraph)**: Build robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph.
- **[langgraph](https://langchain-ai.github.io/langgraph/)**: Build robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph.
- **[langserve](/docs/langserve)**: Deploy LangChain chains as REST APIs.
The broader ecosystem includes:
@ -78,7 +78,7 @@ LangChain Expression Language (LCEL) is the foundation of many of LangChain's co
### [🦜🛠️ LangSmith](/docs/langsmith)
Trace and evaluate your language model applications and intelligent agents to help you move from prototype to production.
### [🦜🕸️ LangGraph](/docs/langgraph)
### [🦜🕸️ LangGraph](https://langchain-ai.github.io/langgraph/)
Build stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain primitives.
### [🦜🏓 LangServe](/docs/langserve)

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@ -208,7 +208,7 @@
"source": [
"# Custom XML Agents\n",
"\n",
"**Note:** For greater customizability, we recommend checking out [LangGraph](/docs/langgraph).\n",
"**Note:** For greater customizability, we recommend checking out [LangGraph](https://langchain-ai.github.io/langgraph/).\n",
"\n",
"Here we provide an example of a custom XML Agent implementation, to give a sense for what `create_xml_agent` is doing under the hood."
]
@ -365,7 +365,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
"version": "3.10.5"
}
},
"nbformat": 4,

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@ -804,7 +804,7 @@
"\n",
"Under the hood, `create_sql_agent` is just passing in SQL tools to more generic agent constructors. To learn more about the built-in generic agent types as well as how to build custom agents, head to the [Agents Modules](/docs/modules/agents/).\n",
"\n",
"The built-in `AgentExecutor` runs a simple Agent action -> Tool call -> Agent action... loop. To build more complex agent runtimes, head to the [LangGraph section](/docs/langgraph)."
"The built-in `AgentExecutor` runs a simple Agent action -> Tool call -> Agent action... loop. To build more complex agent runtimes, head to the [LangGraph section](https://langchain-ai.github.io/langgraph/)."
]
}
],

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@ -153,7 +153,11 @@
id: "langsmith/index"
},
},
"langgraph",
{
type: "link",
label: "🦜🕸️ LangGraph",
href: "https://langchain-ai.github.io/langgraph/"
},
"langserve",
]
},

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@ -245,7 +245,7 @@ nav, h1, h2, h3, h4 {
}
div[class^=announcementBar_] {
height:40px !important;
height: 72px !important;
font-size: 20px !important;
}