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jacoblee93 committed Nov 17, 2024
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2 changes: 1 addition & 1 deletion CONTRIBUTING.md
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Expand Up @@ -170,7 +170,7 @@ yarn
Then, you will need to switch directories into `langchain-core` and build core by running:

```bash
cd ../langchain-core
cd ../../langchain-core
yarn
yarn build
```
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -34,7 +34,7 @@ LangChain is written in TypeScript and can be used in:
- **Reason**: rely on a language model to reason (about how to answer based on provided context, what actions to take, etc.)

This framework consists of several parts.
- **Open-source libraries**: Build your applications using LangChain's open-source [building blocks](https://js.langchain.com/docs/concepts#langchain-expression-language), [components](https://js.langchain.com/docs/concepts), and [third-party integrations](https://js.langchain.com/docs/integrations/platforms/).
- **Open-source libraries**: Build your applications using LangChain's open-source [building blocks](https://js.langchain.com/docs/concepts/lcel), [components](https://js.langchain.com/docs/concepts), and [third-party integrations](https://js.langchain.com/docs/integrations/platforms/).
Use [LangGraph.js](https://js.langchain.com/docs/concepts/#langgraphjs) to build stateful agents with first-class streaming and human-in-the-loop support.
- **Productionization**: Use [LangSmith](https://docs.smith.langchain.com/) to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
- **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/).
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