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update readme #6304

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Jun 16, 2023
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update readme #6304

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10 changes: 5 additions & 5 deletions README.md
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Expand Up @@ -36,22 +36,22 @@ This library aims to assist in the development of those types of applications. C

**❓ Question Answering over specific documents**

- [Documentation](https://langchain.readthedocs.io/en/latest/use_cases/question_answering.html)
- [Documentation](https://python.langchain.com/docs/use_cases/question_answering/)
- End-to-end Example: [Question Answering over Notion Database](https://github.com/hwchase17/notion-qa)

**💬 Chatbots**

- [Documentation](https://langchain.readthedocs.io/en/latest/use_cases/chatbots.html)
- [Documentation](https://python.langchain.com/docs/use_cases/chatbots/)
- End-to-end Example: [Chat-LangChain](https://github.com/hwchase17/chat-langchain)

**🤖 Agents**

- [Documentation](https://langchain.readthedocs.io/en/latest/modules/agents.html)
- [Documentation](https://python.langchain.com/docs/modules/agents/)
- End-to-end Example: [GPT+WolframAlpha](https://huggingface.co/spaces/JavaFXpert/Chat-GPT-LangChain)

## 📖 Documentation

Please see [here](https://langchain.readthedocs.io/en/latest/?) for full documentation on:
Please see [here](https://python.langchain.com) for full documentation on:

- Getting started (installation, setting up the environment, simple examples)
- How-To examples (demos, integrations, helper functions)
Expand Down Expand Up @@ -87,7 +87,7 @@ Memory refers to persisting state between calls of a chain/agent. LangChain prov

[BETA] Generative models are notoriously hard to evaluate with traditional metrics. One new way of evaluating them is using language models themselves to do the evaluation. LangChain provides some prompts/chains for assisting in this.

For more information on these concepts, please see our [full documentation](https://langchain.readthedocs.io/en/latest/).
For more information on these concepts, please see our [full documentation](https://python.langchain.com).

## 💁 Contributing

Expand Down