Welcome to our hands-on introduction to Cohere! This section is split over seven different tutorials, each focusing on one use case leveraging our Chat, Embed, and Rerank endpoints:

- Part 1: Installation and Setup (the document you're reading now)
- [Part 2: Text Generation](/guides/get-started-tutorials-build-things-with-cohere-text-generation-tutorial)
- [Part 3: Chatbots](/guides/get-started-tutorials-build-things-with-cohere-building-a-chatbot-with-cohere)
- [Part 4: Semantic Search](/guides/get-started-tutorials-build-things-with-cohere-semantic-search-with-cohere)
- [Part 5: Reranking](/guides/get-started-tutorials-build-things-with-cohere-reranking-with-cohere)
- [Part 6: Retrieval-Augmented Generation (RAG)](/guides/get-started-tutorials-build-things-with-cohere-rag-with-cohere)
- [Part 7: Agents with Tool Use](/guides/get-started-tutorials-build-things-with-cohere-building-an-agent-with-cohere)

Your learning is structured around building an onboarding assistant that helps new hires at Co1t, a fictitious company. The assistant can help write introductions, answer user questions about the company, search for information from e-mails, and create meeting appointments.

We recommend that you follow the parts sequentially. However, feel free to skip to specific parts if you want (apart from Part 1, which is a pre-requisite) because each part also works as a standalone tutorial.

## Installation and Setup

The Cohere platform lets developers access large language model (LLM) capabilities with a few lines of code. These LLMs can solve a broad spectrum of natural language use cases, including classification, semantic search, paraphrasing, summarization, and content generation.

Cohere's models can be accessed through the [playground](https://dashboard.cohere.ai/playground/generate?model=xlarge&__hstc=14363112.d9126f508a1413c0edba5d36861c19ac.1701897884505.1722364657840.1722366723691.56&__hssc=14363112.1.1722366723691&__hsfp=3560715434) and SDK. We support SDKs in four different languages: Python, Typescript, Java, and Go. For these tutorials, we'll use the Python SDK and access the models through the Cohere platform with an API key.

To get started, first install the Cohere Python SDK.

```python PYTHON
! pip install -U cohere
```

Next, we'll import the `cohere` library and create a client to be used throughout the examples. We create a client by passing the Cohere API key as an argument. To get an API key, [sign up with Cohere](https://dashboard.cohere.com/welcome/register) and get the API key [from the dashboard](https://dashboard.cohere.com/api-keys).

```python PYTHON
import cohere

# Get your API key here: https://dashboard.cohere.com/api-keys

co = cohere.ClientV2(api_key="YOUR_COHERE_API_KEY")
```

In Part 2, we'll get started with the first use case - [text generation](/guides/get-started-tutorials-build-things-with-cohere-text-generation-tutorial).

## Related pages

- [Changelog](../changelog.md)
- [Cohere](../index.md)
- [Cohere API](./cohere-api-index.md)
- [Cohere Labs](./cohere-labs-index.md)
- [Cohere Platform](./cohere-platform-index.md)
- [Cookbooks](./cookbooks-index.md)
- [Deployment Options](./deployment-options-index.md)
- [Embeddings (Vectors, Search, Retrieval)](./embeddings-vectors-search-retrieval-index.md)
- [Get Started](./get-started-index.md)
- [Going to Production](./going-to-production-index.md)
- [Cohere Text Generation Tutorial](./tutorials-v2-build-things-with-cohere-text-generation-tutorial.md)
- [Building a Chatbot with Cohere](./tutorials-v2-build-things-with-cohere-building-a-chatbot-with-cohere.md)
- [Semantic Search with Cohere Models](./tutorials-v2-build-things-with-cohere-semantic-search-with-cohere.md)
- [Master Reranking with Cohere Models](./tutorials-v2-build-things-with-cohere-reranking-with-cohere.md)
- [Building RAG models with Cohere](./tutorials-v2-build-things-with-cohere-rag-with-cohere.md)
- [Building a Generative AI Agent with Cohere](./tutorials-v2-build-things-with-cohere-building-an-agent-with-cohere.md)

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