mirror of
https://github.com/hwchase17/langchain.git
synced 2025-06-25 16:13:25 +00:00
parent
cd17444711
commit
6ed6c7f409
@ -45,9 +45,6 @@ generate-files:
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wget -q https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md -O $(INTERMEDIATE_DIR)/langserve.md
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$(PYTHON) scripts/resolve_local_links.py $(INTERMEDIATE_DIR)/langserve.md https://github.com/langchain-ai/langserve/tree/main/
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wget -q https://raw.githubusercontent.com/langchain-ai/langgraph/main/README.md -O $(INTERMEDIATE_DIR)/langgraph.md
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$(PYTHON) scripts/resolve_local_links.py $(INTERMEDIATE_DIR)/langgraph.md https://github.com/langchain-ai/langgraph/tree/main/
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copy-infra:
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mkdir -p $(OUTPUT_NEW_DIR)
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cp -r src $(OUTPUT_NEW_DIR)
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@ -34,7 +34,7 @@ Concretely, the framework consists of the following open-source libraries:
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- **`langchain-community`**: Third party integrations.
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- 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`**.
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- **`langchain`**: Chains, agents, and retrieval strategies that make up an application's cognitive architecture.
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- **[langgraph](/docs/langgraph)**: Build robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph.
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- **[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.
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- **[langserve](/docs/langserve)**: Deploy LangChain chains as REST APIs.
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The broader ecosystem includes:
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@ -78,7 +78,7 @@ LangChain Expression Language (LCEL) is the foundation of many of LangChain's co
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### [🦜🛠️ LangSmith](/docs/langsmith)
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Trace and evaluate your language model applications and intelligent agents to help you move from prototype to production.
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### [🦜🕸️ LangGraph](/docs/langgraph)
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### [🦜🕸️ LangGraph](https://langchain-ai.github.io/langgraph/)
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Build stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain primitives.
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### [🦜🏓 LangServe](/docs/langserve)
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@ -208,7 +208,7 @@
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"source": [
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"# Custom XML Agents\n",
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"\n",
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"**Note:** For greater customizability, we recommend checking out [LangGraph](/docs/langgraph).\n",
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"**Note:** For greater customizability, we recommend checking out [LangGraph](https://langchain-ai.github.io/langgraph/).\n",
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"\n",
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"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."
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]
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@ -365,7 +365,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.4"
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"version": "3.10.5"
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}
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},
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"nbformat": 4,
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@ -804,7 +804,7 @@
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"\n",
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"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",
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"\n",
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"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)."
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"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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]
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}
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],
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@ -153,7 +153,11 @@
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id: "langsmith/index"
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},
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},
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"langgraph",
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{
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type: "link",
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label: "🦜🕸️ LangGraph",
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href: "https://langchain-ai.github.io/langgraph/"
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},
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"langserve",
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]
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},
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@ -245,7 +245,7 @@ nav, h1, h2, h3, h4 {
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}
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div[class^=announcementBar_] {
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height:40px !important;
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height: 72px !important;
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font-size: 20px !important;
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}
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