# App Examples

### [Semantic Search With Cohere and Langchain](https://cohere.com/blog/search-cohere-langchain/?__hstc=14363112.fb39cf5aec47995e64cd26603e2e04d9.1682489949734.1683573460217.1683583024589.35&__hssc=14363112.1.1683583024589&__hsfp=3887566761)

Use the embed endpoint with Langchain to efficiently build semantic search applications on top of Cohere’s multilingual model.

### [Multilingual Sentiment Analysis](/guides/get-started-archive-llm-university-intro-text-representation-multilingual-sentiment-analysis)

Build an app that takes a user's question about a given document and generates an answer by searching the most semantically similar sections of the document.

### [Pondr](https://docs.cohere.com/fern/pages/cookbooks/pondr.mdx)

Using the generate endpoint, build a game that generates potential conversation topics for two players.

## 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)

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