| July 9, 2026 00:49 UTC | October 8, 2026 00:53 UTC | ||||
|---|---|---|---|---|---|
| 8 | Guides and conceptsAPI ReferenceRelease NotesLLMUCookbooks | 8 | Guides and conceptsAPI ReferenceRelease NotesLLMUCookbooks | ||
| 9 | Search/ | 9 | Search/ | ||
| 10 | Ask AI | 10 | Ask AI | ||
| n | 11 | v2 API | n | 11 | Skip to navigationOn this page |
| 12 | v2 API | ||||
| 13 | Guides and conceptsAPI ReferenceRelease NotesLLMUCookbooks | ||||
| 14 | Get Started | ||||
| 15 | Introduction | ||||
| 16 | Installation | ||||
| 17 | Creating a client | ||||
| 18 | Quickstart | ||||
| 19 | Playground | ||||
| 20 | FAQs | ||||
| 21 | Models | ||||
| 22 | An Overview of Cohere's Models | ||||
| 23 | Audio | ||||
| 24 | Aya | ||||
| 25 | Command | ||||
| 26 | Embed | ||||
| 27 | North | ||||
| 28 | Rerank | ||||
| 29 | Text Generation | ||||
| 30 | Introduction to Text Generation at Cohere | ||||
| 31 | Using the Chat API | ||||
| 32 | Reasoning | ||||
| 33 | Image Inputs | ||||
| 34 | Streaming Responses | ||||
| 35 | Structured Outputs | ||||
| 36 | Predictable Outputs | ||||
| 37 | Advanced Generation Parameters | ||||
| 38 | Retrieval Augmented Generation (RAG) | ||||
| 39 | Tool Use | ||||
| 40 | Tokens and Tokenizers | ||||
| 41 | Summarizing Text | ||||
| 42 | Safety Modes | ||||
| 43 | Embeddings (Vectors, Search, Retrieval) | ||||
| 44 | Introduction to Embeddings at Cohere | ||||
| 45 | Semantic Search with Embeddings | ||||
| 46 | Multimodal Embeddings | ||||
| 47 | Batch Embedding Jobs | ||||
| 48 | Reranking | ||||
| 49 | Going to Production | ||||
| 50 | API Keys and Rate Limits | ||||
| 51 | Going Live | ||||
| 52 | Deprecations | ||||
| 53 | How Does Cohere's Pricing Work? | ||||
| 54 | Integrations | ||||
| 55 | Integrating Embedding Models with Other Tools | ||||
| 56 | Cohere and LangChain | ||||
| 57 | LlamaIndex and Cohere | ||||
| 58 | Deployment Options | ||||
| 59 | Overview | ||||
| 60 | SDK Compatibility | ||||
| 61 | Private Deployment | ||||
| 62 | Cloud AI Services | ||||
| 63 | Model Vault | ||||
| 64 | Tutorials | ||||
| 65 | Cookbooks | ||||
| 66 | LLM University | ||||
| 67 | Build Things with Cohere! | ||||
| 68 | Agentic RAG | ||||
| 69 | Cohere on Azure | ||||
| 70 | Responsible Use | ||||
| 71 | Security | ||||
| 72 | Usage Policy | ||||
| 73 | Command A Technical Report | ||||
| 74 | Command R and Command R+ Model Card | ||||
| 75 | Cohere Labs | ||||
| 76 | Cohere Labs Acceptable Use Policy | ||||
| 77 | More Resources | ||||
| 78 | Cohere Toolkit | ||||
| 79 | Datasets | ||||
| 80 | Improve Cohere Docs | ||||
| 81 | Introduction | ||||
| 82 | Installation | ||||
| 83 | Creating a client | ||||
| 84 | RAG | ||||
| 85 | Reranking | ||||
| 86 | Semantic Search | ||||
| 87 | Text Generation | ||||
| 88 | Tool Use & Agents | ||||
| 89 | Transcribing Audio | ||||
| 90 | Playground | ||||
| 91 | FAQs | ||||
| 92 | An Overview of Cohere's Models | ||||
| 93 | Cohere Transcribe | ||||
| 94 | Cohere Transcribe Arabic | ||||
| 95 | Aya | ||||
| 96 | Aya Vision | ||||
| 97 | Aya Expanse | ||||
| 98 | Tiny Aya | ||||
| 99 | Command A+ | ||||
| 100 | Command A | ||||
| 101 | Command A Reasoning | ||||
| 102 | Command A Translate | ||||
| 103 | Command A Vision | ||||
| 104 | Command R7B | ||||
| 105 | Command R+ | ||||
| 106 | Command R | ||||
| 107 | Embed | ||||
| 108 | North Mini Code | ||||
| 109 | Rerank | ||||
| 110 | Introduction to Text Generation at Cohere | ||||
| 111 | Using the Chat API | ||||
| 112 | Reasoning | ||||
| 113 | Image Inputs | ||||
| 114 | Streaming Responses | ||||
| 115 | Structured Outputs | ||||
| 116 | Parameter Types in Structured Outputs (JSON) | ||||
| 117 | Predictable Outputs | ||||
| 118 | Advanced Generation Parameters | ||||
| 119 | Basic usage | ||||
| 120 | End-to-end example | ||||
| 121 | Streaming | ||||
| 122 | Citations | ||||
| 123 | Tool Use | ||||
| 124 | Basic usage | ||||
| 125 | Usage patterns | ||||
| 126 | Parameter types | ||||
| 127 | Streaming | ||||
| 128 | Citations | ||||
| 129 | Tokens and Tokenizers | ||||
| 130 | Summarizing Text | ||||
| 131 | Safety Modes | ||||
| 132 | Introduction to Embeddings at Cohere | ||||
| 133 | Semantic Search with Embeddings | ||||
| 134 | Multimodal Embeddings | ||||
| 135 | Batch Embedding Jobs | ||||
| 136 | Rerank Overview | ||||
| 137 | Rerank Best Practices | ||||
| 138 | API Keys and Rate Limits | ||||
| 139 | Going Live | ||||
| 140 | Deprecations | ||||
| 141 | How Does Cohere's Pricing Work? | ||||
| 142 | Integrating Embedding Models with Other Tools | ||||
| 143 | Elasticsearch and Cohere | ||||
| 144 | MongoDB and Cohere | ||||
| 145 | Redis and Cohere | ||||
| 146 | Haystack and Cohere | ||||
| 147 | Pinecone and Cohere | ||||
| 148 | Weaviate and Cohere | ||||
| 149 | Open Search and Cohere | ||||
| 150 | Vespa and Cohere | ||||
| 151 | Qdrant and Cohere | ||||
| 152 | Milvus and Cohere | ||||
| 153 | Zilliz and Cohere | ||||
| 154 | Chroma and Cohere | ||||
| 155 | Cohere and LangChain | ||||
| 156 | Chat on LangChain | ||||
| 157 | Embed on LangChain | ||||
| 158 | Rerank on LangChain | ||||
| 159 | Tools on LangChain | ||||
| 160 | LlamaIndex and Cohere | ||||
| 161 | Overview | ||||
| 162 | SDK Compatibility | ||||
| 163 | Overview | ||||
| 164 | Setting Up | ||||
| 165 | Model Deployment | ||||
| 166 | Model Deployment - AWS | ||||
| 167 | Usage | ||||
| 168 | Cohere on AWS | ||||
| 169 | Amazon Bedrock | ||||
| 170 | Amazon SageMaker | ||||
| 171 | Deploy Your Own Finetuned Command-R-0824 Model from AWS Marketplace | ||||
| 172 | Cohere on Azure | ||||
| 173 | Cohere on Oracle Cloud Infrastructure (OCI) | ||||
| 174 | Model Vault | ||||
| 175 | Cookbooks | ||||
| 176 | LLM University | ||||
| 177 | Build Things with Cohere! | ||||
| 178 | Cohere Text Generation Tutorial | ||||
| 179 | Building a Chatbot with Cohere | ||||
| 180 | Semantic Search with Cohere | ||||
| 181 | Reranking with Cohere | ||||
| 182 | RAG with Cohere | ||||
| 183 | Building an Agent with Cohere | ||||
| 184 | Agentic RAG | ||||
| 185 | Routing Queries to Data Sources | ||||
| 186 | Generating Parallel Queries | ||||
| 187 | Performing Tasks Sequentially | ||||
| 188 | Generating Multi-Faceted Queries | ||||
| 189 | Querying Structured Data (Tables) | ||||
| 190 | Querying Structured Data (SQL) | ||||
| 191 | Cohere on Azure | ||||
| 192 | Text Generation | ||||
| 193 | Semantic Search | ||||
| 194 | Reranking | ||||
| 195 | Retrieval Augmented Generation (RAG) | ||||
| 196 | Tool Use & Agents | ||||
| 197 | Usage Policy | ||||
| 198 | Command R and Command R+ Model Card | ||||
| 199 | Cohere Labs Acceptable Use Policy | ||||
| 200 | Cohere Toolkit | ||||
| 201 | Datasets | ||||
| 202 | Improve Cohere Docs | ||||
| 203 | DASHBOARDPLAYGROUNDDOCSCOMMUNITYLOG IN | ||||
| 204 | Light | ||||
| 205 | On this page | ||||
| 206 | Safety Benchmarks | 12 | Safety Benchmarks | ||
| 207 | Intended Use Cases | 13 | Intended Use Cases | ||
| 208 | Unintended and Prohibited Use Cases | 14 | Unintended and Prohibited Use Cases | ||
| 219 | Responsible Use | 25 | Responsible Use | ||
| 220 | Command R and Command R+ Model Card | 26 | Command R and Command R+ Model Card | ||
| 221 | Copy page | 27 | Copy page | ||
| n | n | 28 | This page is for version v2 API (default). | ||
| 29 | For other versions, use one of these documentation indexes: | ||||
| 30 | - v2 API (default): https://docs.cohere.com/v2/llms.txt | ||||
| 31 | - v1 API: https://docs.cohere.com/v1/llms.txt | ||||
| 222 | This documentation aims to guide developers in using language models constructiv | 32 | This documentation aims to guide developers in using language models constructiv | ||
| > | ely and ethically. To this end, we’ve included information below on how our Comm | > | ely and ethically. To this end, we’ve included information below on how our Comm | ||
| > | and R and Command R+ models perform on important safety benchmarks, the intended | > | and R and Command R+ models perform on important safety benchmarks, the intended | ||
| > | (and unintended) use cases they support, toxicity, and other technical specific | > | (and unintended) use cases they support, toxicity, and other technical specific | ||
| > | ations. | > | ations. | ||
| 223 | [NOTE: This page was updated on October 31st, 2024.] | 33 | [NOTE: This page was updated on October 31st, 2024.] | ||
| 224 | Safety Benchmarks | 34 | Safety Benchmarks | ||
| 260 | Human-outside-the-loop: The generation of text that could be used to make import | 70 | Human-outside-the-loop: The generation of text that could be used to make import | ||
| > | ant decisions about people, without a human-in-the-loop. | > | ant decisions about people, without a human-in-the-loop. | ||
| 261 | Was this page helpful?YesNo | 71 | Was this page helpful?YesNo | ||
| 262 | Edit this page | 72 | Edit this page | ||
| n | 263 | PreviousCohere Labs Acceptable Use Policy | n | 73 | PreviousCohere Web Crawlers |
| 264 | NextBuilt with | 74 | NextBuilt with | ||
| t | t | 75 | Guides and conceptsAPI ReferenceRelease NotesLLMUCookbooks | ||
| 76 | Get Started | ||||
| 77 | Welcome to Cohere | ||||
| 78 | Cohere Platform | ||||
| 79 | Overview | ||||
| 80 | Installation | ||||
| 81 | Creating a client | ||||
| 82 | Quickstart | ||||
| 83 | Playground | ||||
| 84 | FAQs | ||||
| 85 | Model Vault | ||||
| 86 | Overview | ||||
| 87 | Quickstart | ||||
| 88 | Deploy & manage | ||||
| 89 | Operate & observe | ||||
| 90 | Standard Vault | ||||
| 91 | Encrypted Vault | ||||
| 92 | Model Vault with North | ||||
| 93 | Models | ||||
| 94 | An Overview of Cohere's Models | ||||
| 95 | Audio | ||||
| 96 | Aya | ||||
| 97 | Command | ||||
| 98 | Embed | ||||
| 99 | North | ||||
| 100 | Rerank | ||||
| 101 | Parse | ||||
| 102 | Text Generation | ||||
| 103 | Introduction to Text Generation at Cohere | ||||
| 104 | Using the Chat API | ||||
| 105 | Reasoning | ||||
| 106 | Image Inputs | ||||
| 107 | Streaming Responses | ||||
| 108 | Structured Outputs | ||||
| 109 | Predictable Outputs | ||||
| 110 | Advanced Generation Parameters | ||||
| 111 | Retrieval Augmented Generation (RAG) | ||||
| 112 | Tool Use | ||||
| 113 | Tokens and Tokenizers | ||||
| 114 | Summarizing Text | ||||
| 115 | Embeddings (Vectors, Search, Retrieval) | ||||
| 116 | Introduction to Embeddings at Cohere | ||||
| 117 | Semantic Search with Embeddings | ||||
| 118 | Multimodal Embeddings | ||||
| 119 | Batch Embedding Jobs | ||||
| 120 | Reranking | ||||
| 121 | Going to Production | ||||
| 122 | API Keys and Rate Limits | ||||
| 123 | Going Live | ||||
| 124 | Deprecations | ||||
| 125 | How Does Cohere's Pricing Work? | ||||
| 126 | Integrations | ||||
| 127 | Integrating Embedding Models with Other Tools | ||||
| 128 | Cohere and LangChain | ||||
| 129 | LlamaIndex and Cohere | ||||
| 130 | Deployment Options | ||||
| 131 | Overview | ||||
| 132 | SDK Compatibility | ||||
| 133 | Private Deployment | ||||
| 134 | Cloud AI Services | ||||
| 135 | Tutorials | ||||
| 136 | Cookbooks | ||||
| 137 | LLM University | ||||
| 138 | Build Things with Cohere! | ||||
| 139 | Agentic RAG | ||||
| 140 | Cohere on Azure | ||||
| 141 | Responsible Use | ||||
| 142 | Cohere Trust Center | ||||
| 143 | Security | ||||
| 144 | Usage Policy | ||||
| 145 | Command A Technical Report | ||||
| 146 | Command A Translate Technical Report | ||||
| 147 | North Small Translate Technical Report | ||||
| 148 | Command R and Command R+ Model Card | ||||
| 149 | Cohere Web Crawlers | ||||
| 150 | Cohere Labs | ||||
| 151 | Cohere Labs Acceptable Use Policy | ||||
| 152 | More Resources | ||||
| 153 | Cohere Toolkit | ||||
| 154 | Datasets | ||||
| 155 | Improve Cohere Docs | ||||
| 156 | Welcome to Cohere | ||||
| 157 | Overview | ||||
| 158 | Installation | ||||
| 159 | Creating a client | ||||
| 160 | RAG | ||||
| 161 | Reranking | ||||
| 162 | Semantic Search | ||||
| 163 | Text Generation | ||||
| 164 | Tool Use & Agents | ||||
| 165 | Transcribing Audio | ||||
| 166 | Document Parsing | ||||
| 167 | Best Practices | ||||
| 168 | Playground | ||||
| 169 | FAQs | ||||
| 170 | Overview | ||||
| 171 | Quickstart | ||||
| 172 | Home Page | ||||
| 173 | Creating a Vault | ||||
| 174 | Managing Vaults | ||||
| 175 | Monitoring | ||||
| 176 | Overview | ||||
| 177 | Supported Models | ||||
| 178 | Calling the API | ||||
| 179 | Pricing | ||||
| 180 | Overview | ||||
| 181 | Supported Models | ||||
| 182 | Calling the API | ||||
| 183 | Confidential Computing Primer | ||||
| 184 | Security Model | ||||
| 185 | Remote Attestation | ||||
| 186 | Verifying Your Deployment | ||||
| 187 | Encryption & Key Management | ||||
| 188 | Compliance | ||||
| 189 | Pricing | ||||
| 190 | FAQ | ||||
| 191 | Model Vault with North | ||||
| 192 | An Overview of Cohere's Models | ||||
| 193 | Cohere Transcribe | ||||
| 194 | Cohere Transcribe Arabic | ||||
| 195 | Aya | ||||
| 196 | Aya Vision | ||||
| 197 | Aya Expanse | ||||
| 198 | Tiny Aya | ||||
| 199 | Command A+ | ||||
| 200 | Command A | ||||
| 201 | Command A Reasoning | ||||
| 202 | Command A Translate | ||||
| 203 | Command A Vision | ||||
| 204 | Command R7B | ||||
| 205 | Command R+ | ||||
| 206 | Command R | ||||
| 207 | Embed | ||||
| 208 | North Small Translate | ||||
| 209 | North Mini Code | ||||
| 210 | Rerank | ||||
| 211 | Parse | ||||
| 212 | Introduction to Text Generation at Cohere | ||||
| 213 | Using the Chat API | ||||
| 214 | Reasoning | ||||
| 215 | Image Inputs | ||||
| 216 | Streaming Responses | ||||
| 217 | Structured Outputs | ||||
| 218 | Parameter Types in Structured Outputs (JSON) | ||||
| 219 | Predictable Outputs | ||||
| 220 | Advanced Generation Parameters | ||||
| 221 | Basic usage | ||||
| 222 | End-to-end example | ||||
| 223 | Streaming | ||||
| 224 | Citations | ||||
| 225 | Tool Use | ||||
| 226 | Basic usage | ||||
| 227 | Usage patterns | ||||
| 228 | Parameter types | ||||
| 229 | Streaming | ||||
| 230 | Citations | ||||
| 231 | Tokens and Tokenizers | ||||
| 232 | Summarizing Text | ||||
| 233 | Introduction to Embeddings at Cohere | ||||
| 234 | Semantic Search with Embeddings | ||||
| 235 | Multimodal Embeddings | ||||
| 236 | Batch Embedding Jobs | ||||
| 237 | Rerank Overview | ||||
| 238 | Rerank Best Practices | ||||
| 239 | API Keys and Rate Limits | ||||
| 240 | Going Live | ||||
| 241 | Deprecations | ||||
| 242 | How Does Cohere's Pricing Work? | ||||
| 243 | Integrating Embedding Models with Other Tools | ||||
| 244 | Elasticsearch and Cohere | ||||
| 245 | MongoDB and Cohere | ||||
| 246 | Redis and Cohere | ||||
| 247 | Haystack and Cohere | ||||
| 248 | Pinecone and Cohere | ||||
| 249 | Weaviate and Cohere | ||||
| 250 | Open Search and Cohere | ||||
| 251 | Vespa and Cohere | ||||
| 252 | Qdrant and Cohere | ||||
| 253 | Milvus and Cohere | ||||
| 254 | Zilliz and Cohere | ||||
| 255 | Chroma and Cohere | ||||
| 256 | Cohere and LangChain | ||||
| 257 | Chat on LangChain | ||||
| 258 | Embed on LangChain | ||||
| 259 | Rerank on LangChain | ||||
| 260 | Tools on LangChain | ||||
| 261 | LlamaIndex and Cohere | ||||
| 262 | Overview | ||||
| 263 | SDK Compatibility | ||||
| 264 | Overview | ||||
| 265 | Setting Up | ||||
| 266 | Model Deployment | ||||
| 267 | Model Deployment - AWS | ||||
| 268 | Usage | ||||
| 269 | Cohere on AWS | ||||
| 270 | Amazon Bedrock | ||||
| 271 | Amazon SageMaker | ||||
| 272 | Deploy Your Own Finetuned Command-R-0824 Model from AWS Marketplace | ||||
| 273 | Cohere on Azure | ||||
| 274 | Cohere on Oracle Cloud Infrastructure (OCI) | ||||
| 275 | Cookbooks | ||||
| 276 | LLM University | ||||
| 277 | Build Things with Cohere! | ||||
| 278 | Cohere Text Generation Tutorial | ||||
| 279 | Building a Chatbot with Cohere | ||||
| 280 | Semantic Search with Cohere | ||||
| 281 | Reranking with Cohere | ||||
| 282 | RAG with Cohere | ||||
| 283 | Building an Agent with Cohere | ||||
| 284 | Agentic RAG | ||||
| 285 | Routing Queries to Data Sources | ||||
| 286 | Generating Parallel Queries | ||||
| 287 | Performing Tasks Sequentially | ||||
| 288 | Generating Multi-Faceted Queries | ||||
| 289 | Querying Structured Data (Tables) | ||||
| 290 | Querying Structured Data (SQL) | ||||
| 291 | Cohere on Azure | ||||
| 292 | Text Generation | ||||
| 293 | Semantic Search | ||||
| 294 | Reranking | ||||
| 295 | Retrieval Augmented Generation (RAG) | ||||
| 296 | Tool Use & Agents | ||||
| 297 | Usage Policy | ||||
| 298 | Command R and Command R+ Model Card | ||||
| 299 | Cohere Web Crawlers | ||||
| 300 | Cohere Labs Acceptable Use Policy | ||||
| 301 | Cohere Toolkit | ||||
| 302 | Datasets | ||||
| 303 | Improve Cohere Docs | ||||
| 304 | v2 API | ||||
| 305 | v1 API | ||||
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