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 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/ $(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: copy-infra:
mkdir -p $(OUTPUT_NEW_DIR) mkdir -p $(OUTPUT_NEW_DIR)
cp -r src $(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. - **`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`**. - 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. - **`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. - **[langserve](/docs/langserve)**: Deploy LangChain chains as REST APIs.
The broader ecosystem includes: The broader ecosystem includes:
@ -78,7 +78,7 @@ LangChain Expression Language (LCEL) is the foundation of many of LangChain's co
### [🦜🛠️ LangSmith](/docs/langsmith) ### [🦜🛠️ LangSmith](/docs/langsmith)
Trace and evaluate your language model applications and intelligent agents to help you move from prototype to production. 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. Build stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain primitives.
### [🦜🏓 LangServe](/docs/langserve) ### [🦜🏓 LangServe](/docs/langserve)

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@ -208,7 +208,7 @@
"source": [ "source": [
"# Custom XML Agents\n", "# Custom XML Agents\n",
"\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", "\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." "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", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.10.4" "version": "3.10.5"
} }
}, },
"nbformat": 4, "nbformat": 4,

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@ -804,7 +804,7 @@
"\n", "\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", "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", "\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" id: "langsmith/index"
}, },
}, },
"langgraph", {
type: "link",
label: "🦜🕸️ LangGraph",
href: "https://langchain-ai.github.io/langgraph/"
},
"langserve", "langserve",
] ]
}, },

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