App Examples

Semantic Search With Cohere and Langchain

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

Multilingual Movie Search

Build a movie search and recommendation app using the embed endpoint, similarity, and nearest neighbors.

Topic Modeler

Using the embed endpoint and clustering, build an app that extracts the main topics from a large collection of text documents.

Invoice Extractor

Using the generate endpoint, build an app that extracts important information from invoices.

News Article Recommender

Build an article recommender app using the embed endpoint and similarity to find the closest articles to a given article. Then classify each article by category and extract tags from the articles.

Multilingual Sentiment Analysis

Using embeddings, build a sentiment analysis classifier that works in many languages.

Document Question Answering

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

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