name: "Youran Qi", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/929cb1c-youran-headshot.jpg" }

{ title: "Calendar Agent with Native Multi Step Tool", description: "A minimal working example of how to use our chat API to call tools.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/5523913-Community_Demo_1.png", tags: ["agents"], href: "/page/calendar-agent", }, { title: "Basic Tool Use", description: "Connect large language models to external tools, like search engines, APIs, and databases, to access and utilise a wider range of data.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/bad278b-Community_Demo_2.png", tags: ["agents"], href: "/page/basic-tool-use", }, { title: "Multi-Step Tool Use", description: "Multi-step tool use allows developers to connect Cohere's models to external tools like search engines, APIs, and databases.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/8b24122-Community_Demo_3.png", tags: ["agents", "oss"], href: "/page/basic-multi-step", }, { title: "A Data Analyst Agent Built with Cohere and Langchain", description: "Build a data analyst agent with Python and Cohere's Command R+ mode and Langchain.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/86191a6-Community_Demo_5.png", tags: ["agents", "oss"], href: "/page/data-analyst-agent", }, { title: "Short-Term Memory Handling for Agents", description: "A walkthrough of how to use Langchain cohere_react_agent to effectively manage short-term chat history that contains tool calls with Langchain.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/d86be24-Community_Demo_6.png", tags: ["agents"], href: "/page/agent-short-term-memory", authors: [marco], }, { title: "Agent API Calls", description: "A walkthrough of how to use Langchain cohere_react_agent to make API calls to external services that require regex.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/083d9e2-Community_Demo_7.png", tags: ["agents"], href: "/page/agent-api-calls", authors: [marco], }, { title: "Financial CSV Agent with Langchain", description: "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.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/13cb578-Community_Demo_8.png", tags: ["agents", "oss"], href: "/page/csv-agent", authors: [shaan], }, { title: "Agentic RAG for PDFs with mixed data", description: "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.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/142e385-Community_Demo_9.png", tags: ["agents"], href: "/page/agentic-rag-mixed-data", authors: [shaan], }, { title: "SQL Agent", description: "In this notebook we explore how to setup a Cohere ReAct Agent to answer questions over SQL Databases using Langchain's SQLDBToolkit.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/5523913-Community_Demo_1.png", tags: ["agents"], href: "/page/sql-agent", authors: [shaan], }, { title: "SQL Agent with Cohere and LangChain (i-5O Case Study)", description: "Build a SQL agent with Cohere and LangChain in the manufacturing industry.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/bad278b-Community_Demo_2.png", tags: ["agents"], href: "/page/sql-agent-cohere-langchain", }, { title: "Financial CSV Agent with Native Multi-Step Cohere API", description: "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.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/bad278b-Community_Demo_2.png", tags: ["agents"], href: "/page/csv-agent-native-api", authors: [jason], }, { title: "PDF Extractor with Native Multi Step Tool Use", description: "How we can leverage agents to extract information from PDFs?", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/28ee583-Community_Demo_4.png", tags: ["agents"], href: "/page/pdf-extractor", authors: [jason], }, { title: "Agentic Multi-Stage RAG with Cohere Tools API", description: "How to use Agents to improve RAG performance.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/86191a6-Community_Demo_5.png", tags: ["agents"], href: "/page/agentic-multi-stage-rag", authors: [jason], }, ];

{ title: "Fueling Generative Content with Keyword Research", description: "Enhance content creation with keyword-based topic clusters, generating blog ideas with Cohere's Chat model.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/8b24122-Community_Demo_3.png", tags: [], href: "/page/fueling-generative-content", }, { title: "Text Classification Using Embeddings", description: "Build a text classifier with Cohere embeddings. This notebook shows you how to train a sentiment analysis model with a small dataset.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/86191a6-Community_Demo_5.png", tags: [], href: "/page/text-classification-using-embeddings", }, { title: "Article Recommender with Text Embedding Classification Extraction", description: "Improve news article recommendations with embeddings, text classification, and keyword extraction.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/142e385-Community_Demo_9.png", tags: [], href: "/page/article-recommender-with-text-embeddings", }, { title: "Advanced Document Parsing For Enterprises", description: "Learn how to parse PDFs into text with a real-world example.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/083d9e2-Community_Demo_7.png", tags: [], href: "/page/document-parsing-for-enterprises", authors: [ giannis, { name: "Justin Lee", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/3678fac-Justin.jpg", }, ], }, { title: "Pondr, Fostering Connection through Good Conversation", description: "Learn how to create Pondr, a game that fosters connections and meaningful conversations with friends and strangers.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/86191a6-Community_Demo_5.png", tags: [], href: "/page/pondr", }, { title: "Hello World! Meet Language AI", description: "General quickstart with basic instructions on how to get started with generative AI.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/083d9e2-Community_Demo_7.png", tags: [], href: "/page/hello-world-meet-ai", }, { title: "Topic Modeling AI Papers", description: "Learn how to build a topic modeling pipeline in Python.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/5523913-Community_Demo_1.png", tags: [], href: "/page/topic-modeling-ai-papers", }, { title: "Analyzing Hacker News with Six Language Understanding Methods", description: "Learn how to analyze textual data using Cohere's tools.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/28ee583-Community_Demo_4.png", tags: [], href: "/page/analyzing-hacker-news", }, { title: "Introduction to Aya Vision: A state-of-the-art open-weights vision model", description: "Explore the capabilities of Aya Vision, which can take text and image inputs to generates text responses.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/28ee583-Community_Demo_4.png", tags: [], href: "/page/aya-vision-intro", }, { title: "Document Translation with Command A Translate", description: "Learn how to use Command A Translate for automated translation across 23 languages with industry-leading performance.", imageSrc: "https://fern-image-hosting.s3.amazonaws.com/cohere/28ee583-Community_Demo_4.png", tags: [], href: "/page/command-a-translate", }, ];

Explore what you can build on Cohere's generative AI platform. These ready-made guides will get you started with best-practices that get the most out of Cohere's models. Everything is set up and ready for you to start testing!