Cohere AI technology page Top Builders

Explore the top contributors showcasing the highest number of Cohere AI technology page app submissions within our community.

Cohere

Cohere provides access to advanced Large Language Models and NLP tools through one easy-to-use API. They provide multiple models such as Generate, Embed, Semantic Search or Classify

Cohere is a Canadian company that specializes in artificial intelligence. Their mission is to help businesses harness the power of AI to improve their operations. Cohere offers a suite of AI-powered tools that can be used to automate tasks, improve customer service, and boost sales. Their products are designed to be easy to use and integrate with existing business systems. The Cohere natural language processing platform makes it easier for developers to build natural language processing models into applications and helps companies infuse natural language processing capabilities into their business using tools like chatbots, without requiring AI expertise of their own.

General
CompanyCohere
Founded2019
Repositoryhttps://github.com/cohere-ai/
DiscordJoin the Cohere channel on Discord

Start building with Cohere

Cohere has an amazing potential and extraordinary potential usage - you can incorporate it into many of your app ideas and it will solve many of the problems you faced perfectly.


Cohere Embed

For ML teams looking to build their own text analysis applications, Embed offers high-performance, accurate embeddings in English and 100+ languages.

You can easily use Cohere Embed for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our Cohere Embed tech page.


Cohere Generate

Generate produces unique content for emails, landing pages, product descriptions, and more.

You can easily use Cohere Generate for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our Cohere Generate tech page.


Cohere Classify

Classify organizes information for more effective content moderation, analysis, and chatbot experiences.

You can easily use Cohere Classify for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our Cohere Classify tech page.


Neural Search provides powerful semantic search capabilities that find text, documents, and articles based on meaning, not just keywords.

You can easily use Cohere Neural Search for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our Cohere Neural Search tech page.


Cohere Boilerplates

Kickstart your development with a Cohere based boilerplate. Boilerplates is a great way to headstart when building your next project with Cohere.


Cohere Libraries

A curated list of libraries and technologies to help you build great projects with Cohere.

  • Cohere Node This package provides functionality developed to simplify interfacing with the cohere.ai natural language API. This SDK provides support for both TypeScript and JavaScript Node.js projects.
  • Cohere Go This package provides functionality developed to simplify interfacing with the cohere.ai natural language API in Go.
  • Cohere Python This package provides functionality developed to simplify interfacing with the Cohere API in Python 3.
  • Cohere Ruby This package provides functionality developed to simplify interfacing with the cohere.ai NLP API in Ruby.

Cohere Sandbox

Sandbox is a collection of experimental, open-source GitHub repositories that make building applications using large language models fast and easy with Cohere.


Cohere AI technology page Hackathon projects

Discover innovative solutions crafted with Cohere AI technology page, developed by our community members during our engaging hackathons.

Search Engine Powered AI Agent and more

Search Engine Powered AI Agent and more

Code: https://github.com/sprites20/Anthroid-AI Using together.ai to host the LLM serverless, Vectara for querying the documents, LLamaIndex for text embeddings (or LLM), and unstructured.io cleaning and translating the HTML or maybe even formatting the prompts. Uses Google Search API or Azure Bing Search service API to query the search engine, returns links, and sends to Vectara for indexing and querying, (perhaps more options in the future). For now, it uses only Vectara but will implement the LLamaindex soon. Shall also use the Meta's Graph API to gather posts, not only from search engines but social media apps like Facebook for the latest news about a topic using its query engine and more content not only from websites but from actual people in real-time. (WIP) It is also capable of choosing, retrieving code, and running code. With a built-in Python interpreter; the exec() function, that can also run other languages via bindings like jnius (Java), Cython/CPython (C/C++), C# DLLs, and whatever binding in the Python library there is. Even OpenGL for 3D rendering for true multimodality, OpenCV for RTSP streaming, image processing, and computer vision, matplotlib for mathematical visualizations, or even a custom web browser like Chrome and Edge that can also run JS evaluate to execute JS code for websites. A cross-platform native app, that in the future should be able to run on most operating systems, not only on PC but also for mobile phones like Android and Ios.