Cookbooks

Calendar Agent with Native Multi Step Tool

A minimal working example of how to use our chat API to call tools.

Basic Tool Use

Connect large language models to external tools, like search engines, APIs, and databases, to access and utilise a wider range of data.

Multi-Step Tool Use

Multi-step tool use allows developers to connect Cohere's models to external tools like search engines, APIs, and databases.

A Data Analyst Agent Built with Cohere and Langchain

Build a data analyst agent with Python and Cohere's Command R+ mode and Langchain.

Short-Term Memory Handling for Agents

A walkthrough of how to use Langchain cohere_react_agent to effectively manage short-term chat history that contains tool calls with Langchain.

Marco Del Tredici

Agent API Calls

A walkthrough of how to use Langchain cohere_react_agent to make API calls to external services that require regex.

Marco Del Tredici

Financial CSV Agent with Langchain

The notebook demonstrates how to setup a Langchain Cohere ReAct Agent to answer questions over the income statement and balance sheet from Apple's SEC10K 2020 form.

Shaan Desai

Agentic RAG for PDFs with mixed data

A walkthrough of how to use Langchain cohere_react_agent to run RAG as an agent tool to handle PDFs with mixed table and text data.

Shaan Desai

SQL Agent

In this notebook we explore how to setup a Cohere ReAct Agent to answer questions over SQL Databases using Langchain's SQLDBToolkit.

Shaan Desai

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

Build a SQL agent with Cohere and LangChain in the manufacturing industry.

Financial CSV Agent with Native Multi-Step Cohere API

This notebook demonstrates how to setup a Cohere Native API sequence of tool calls to answer questions over the income statement and balance sheet from Apple's SEC10K 2020 form.

Jason Jung

PDF Extractor with Native Multi Step Tool Use

How we can leverage agents to extract information from PDFs?

Jason Jung

Agentic Multi-Stage RAG with Cohere Tools API

How to use Agents to improve RAG performance.

Jason Jung

Multi-Step Tool Use

Multi-step tool use allows developers to connect Cohere's models to external tools like search engines, APIs, and databases.

A Data Analyst Agent Built with Cohere and Langchain

Build a data analyst agent with Python and Cohere's Command R+ mode and Langchain.

Financial CSV Agent with Langchain

The notebook demonstrates how to setup a Langchain Cohere ReAct Agent to answer questions over the income statement and balance sheet from Apple's SEC10K 2020 form.

Shaan Desai

Multilingual Search with Cohere and Langchain

Multilingual search with Cohere and Langchain.

Creating a QA Bot From Technical Documentation

Create a chatbot that answers user questions based on technical documentation using Cohere embeddings and LlamaIndex.

Migrating away from deprecated 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.

Wikipedia Semantic Search with Cohere Embedding Archives

Find relevant Wikipedia passages with semantic search and Cohere embeddings.

Semantic Search with Cohere Embed Jobs and Pinecone serverless Solution

Learn how to use Cohere's Embed Jobs and Pinecone's serverless solution to perform semantic search.

End-to-end RAG using Elasticsearch and Cohere

Learn how to use Cohere and Elastic for semantic search and retrieval-augmented generation.

Semantic Search with Cohere Embed Jobs

Learn how to use Cohere Embed Jobs to create semantic search functionality.

Basic Semantic Search

Learn how to build a simple semantic search engine using sentence embeddings.

Multilingual Search with Cohere and Langchain

Multilingual search with Cohere and Langchain.

Wikipedia Semantic Search with Cohere + Weaviate

Search 10 million Wikipedia vectors with Cohere's multilingual model and Weaviate's public dataset.

Creating a QA Bot From Technical Documentation

Create a chatbot that answers user questions based on technical documentation using Cohere embeddings and LlamaIndex.

Demo of Rerank

Improve search results with Cohere's Relevance Endpoint, which reranks documents for better accuracy.

RAG with MongoDB and Cohere

Build a chatbot that provides actionable insights on technology company market reports.

Retrieval Evaluation with LLM-as-a-Judge via Pydantic AI

Evaluate retrieval systems using LLMs as judges via Pydantic AI.

Semantic Search with Cohere Embed Jobs and Pinecone serverless Solution

Learn how to use Cohere's Embed Jobs and Pinecone's serverless solution to perform semantic search.

End-to-end RAG using Elasticsearch and Cohere

Learn how to use Cohere and Elastic for semantic search and retrieval-augmented generation.

Basic RAG

RAG boosts the accuracy of language models by combining them with a retrieval system.

End-to-end RAG using Elasticsearch and Cohere

Learn how to use Cohere and Elastic for semantic search and retrieval-augmented generation.

Chunking Strategies

Explore chunking strategies for RAG systems.

Ania Bialas

Migrating Monolithic Prompts to Command-R with RAG

Command-R simplifies prompt migration to RAG, reducing hallucination and improving conciseness and grounding.

RAG With Chat Embed and Rerank via Pinecone

This notebook shows how to build a RAG-powered chatbot with Cohere's Chat endpoint.

Creating a QA Bot From Technical Documentation

Create a chatbot that answers user questions based on technical documentation using Cohere embeddings and LlamaIndex.

Deep Dive Into RAG Evaluation

Learn how to evaluate RAG models.

Marco Del Tredici

Aal Patankar

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

Jumpstart financial analysis of 10-Ks or 10-Qs with Cohere's Command model and LlamaIndex tooling.

Alex Barbet

Long Form General Strategies

Techniques to address lengthy documents exceeding the context window of LLMs.

Ania Bialas

Summarization Evals

This cookbook demonstrates an approach to evaluating summarization tasks using LLM evaluation.

Grounded Summarization Using Command R

Learn how to summarise long documents with citations, reducing cost and improving latency.

Finetuning on Cohere's Platform

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

Komal Teru

Deploy your finetuned model on AWS Marketplace

Learn how to deploy your finetuned model on AWS Marketplace.

Youran Qi

Finetuning on AWS Sagemaker

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

Mike Mao

Fueling Generative Content with Keyword Research

Enhance content creation with keyword-based topic clusters, generating blog ideas with Cohere's Chat model.

Text Classification Using Embeddings

Build a text classifier with Cohere embeddings. This notebook shows you how to train a sentiment analysis model with a small dataset.

Article Recommender with Text Embedding Classification Extraction

Improve news article recommendations with embeddings, text classification, and keyword extraction.

Advanced Document Parsing For Enterprises

Learn how to parse PDFs into text with a real-world example.

Giannis Chatziveroglou

Justin Lee

Pondr, Fostering Connection through Good Conversation

Learn how to create Pondr, a game that fosters connections and meaningful conversations with friends and strangers.

Hello World! Meet Language AI

General quickstart with basic instructions on how to get started with generative AI.

Topic Modeling AI Papers

Learn how to build a topic modeling pipeline in Python.

Analyzing Hacker News with Six Language Understanding Methods

Learn how to analyze textual data using Cohere's tools.

Introduction to Aya Vision: A state-of-the-art open-weights vision model

Explore the capabilities of Aya Vision, which can take text and image inputs to generates text responses.

Document Translation with Command A Translate

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