Cookbooks

Explore a range of AI guides and get started with Cohere's generative platform, ready-made and best-practice optimized.

Building an LLM Agent with the Cohere API

This page how to use Cohere's API to build an LLM-based agent.

Short-Term Memory Handling for Agents

This page describes how to manage short-term memory in an agent built with Cohere models.

Agentic Multi-Stage RAG with Cohere Tools API

This page describes how to build a powerful, multi-stage agent with the Cohere platform.

Agentic RAG for PDFs with mixed data

This page describes building a powerful, multi-step chatbot with Cohere's models.

Analysis of Form 10-K/10-Q Using Cohere and RAG

This page describes how to use Cohere's large language models to build an agent able to analyze financial forms like a 10-K or a 10-Q.

Analyzing Hacker News with Cohere

This page describes building a generative-AI powered tool to analyze headlines with Cohere.

Article Recommender via Embedding & Classification

This page describes how to build a generative-AI tool to recommend articles with Cohere.

Multi-Step Tool Use with Cohere

This page describes how to create a multi-step, tool-using AI agent with Cohere's tool use functionality.

Basic RAG: Retrieval-Augmented Generation with Cohere

This page describes how to work with Cohere's basic retrieval-augmented generation functionality.

Basic Semantic Search with Cohere Models

This page describes how to do basic semantic search with Cohere's models.

Getting Started with Basic Tool Use

This page describes how to work with Cohere's basic tool use functionality.

Calendar Agent with Native Multi Step Tool

This page describes how to use cohere Chat API with list_calendar_events and create_calendar_event tools to book appointments.

Effective Chunking Strategies for RAG

This page describes various chunking strategies you can use to get better RAG performance.

Creating a QA Bot From Technical Documentation

This page describes how to use Cohere to build a simple question-answering system.

Financial CSV Agent with Native Multi-Step Cohere API

This page describes how to use Cohere's models and its native API to build an agent able to work with CSV data.

Financial CSV Agent with Langchain

This page describes how to use Cohere's models to build an agent able to work with CSV data.

Migrating away from create_csv_agent in langchain-cohere

This page contains a tutorial on how to build a CSV agent without the deprecated create_csv_agent abstraction in langchain-cohere v0.3.5 and beyond.

A Data Analyst Agent Built with Cohere and Langchain

This page describes how to build a data-analysis system out of Cohere's models.

Advanced Document Parsing For Enterprises

This page describes how to use Cohere's models to build a document-parsing agent.

End-to-end RAG using Elasticsearch and Cohere

This page contains a basic tutorial on how to get Cohere and ElasticSearch to work well together.

Serverless Semantic Search with Cohere and Pinecone

This page contains a basic tutorial on how to get Cohere and the Pinecone vector database to work well together.

Semantic Search with Cohere Embed Jobs

This page contains a basic tutorial on how to use Cohere's Embed Jobs functionality.

Fueling Generative Content with Keyword Research

This page contains a basic workflow for using Cohere's models to come up with keyword content ideas.

Grounded Summarization Using Command R

This page contains a basic tutorial on how to do grounded summarization with Cohere's models.

Hello World! Explore Language AI with Cohere

This page contains a breakdown of some of what can be achieved with Cohere's LLM platform.

Long-Form Text Strategies with Cohere

This discusses ways of getting Cohere's LLM platform to perform well in generating long-form text.

Migrating Monolithic Prompts to Command A with RAG

This page contains a discussion of how to automatically migrating monolothic prompts.

Multilingual Search with Cohere and Langchain

This page contains a basic tutorial on how to do search across different languages with Cohere's LLM platform.

PDF Extractor with Native Multi Step Tool Use

This page describes how to create an AI agent able to extract information from PDFs.

Pondr, Fostering Connection through Good Conversation

This page contains a basic tutorial on how tplay an AI-powered version of the icebreaking game 'Pondr'.

Deep Dive Into Evaluating RAG Outputs

This page contains information on evaluating the output of RAG systems.

RAG With Chat Embed and Rerank via Pinecone

This page contains a basic tutorial on how to build a RAG-powered chatbot.

Learn How Cohere's Rerank Models Work

This page contains a basic tutorial on how Cohere's ReRank models work and how to use them.

Build a SQL Agent with Cohere's LLM Platform

This page contains a tutorial on how to build a SQL agent with Cohere's LLM platform.

Evaluating Text Summarization Models

This page discusses how to evaluate a model's text summarization.

Text Classification Using Embeddings

This page discusses the creation of a text classification model using word vector embeddings.

Topic Modeling System for AI Papers

This page discusses how to create a topic-modeling system for papers focused on AI papers.

Wikipedia Semantic Search with Cohere + Weaviate

This page contains a description of building a Wikipedia-focused search engine with Cohere's LLM platform and the Weaviate vector database.

Wikipedia Semantic Search with Cohere Embedding Archives

This page contains a description of building a Wikipedia-focused semantic search engine with Cohere's LLM platform and the Weaviate vector database.

Build Chatbots with MongoDB and Cohere

This page describes how to build a chatbot that provides actionable insights on technology company market reports.

Finetuning on Cohere's Platform

An example of finetuning using Cohere's platform and a financial dataset.

Deploy your finetuned model on AWS Marketplace

Learn how to deploy your finetuned model on AWS Marketplace.

Finetuning Cohere Models on AWS Sagemaker

Learn how to finetune one of Cohere's models on AWS Sagemaker.

SQL Agent with Cohere and LangChain (i-5O Case Study)

This page contains a tutorial on how to build a SQL agent with Cohere and LangChain in the manufacturing industry.

Introduction to Aya Vision

In this notebook, we will explore the capabilities of Aya Vision, which can take text and image inputs to generates text responses.

Retrieval evaluation using LLM-as-a-judge via Pydantic AI

This page contains a tutorial on how to evaluate retrieval systems using LLMs as judges via Pydantic AI.

Document Translation with Command A Translate

This page describes how to use Command A Translate for automated translation across 23 languages with industry-leading performance.