Cohere API

Generates contextually-aware responses through the /chat endpoint using Command R+ model, supporting 23 languages with ability to ground responses in user-provided documents or external data sources via RAG integration. Processes multi-turn conversation history to maintain context across exchanges, enabling coherent dialogue for both open-ended and task-specific interactions.

Converts text into fixed-dimensional vector representations via the /embed endpoint using Embed 4 model (Small and Medium variants), supporting 100+ languages for multilingual semantic search and similarity operations. Embeddings are optimized for fast retrieval and pattern discovery, enabling downstream operations like clustering, deduplication, and semantic matching across diverse language pairs.

Enables deployment of Cohere models (via Model Vault) in customer-managed VPC, on-premises infrastructure, or Cohere-managed isolated environment, supporting data residency, compliance (HIPAA, SOC2, GDPR), and air-gapped requirements. Provides dedicated capacity without shared resource contention.

Command R+ generative model supports 23 languages for text generation and conversation, enabling multilingual chatbots and content creation without language-specific model selection or switching. Language support is built into single model rather than requiring separate language-specific models.

Re-ranks search results using the /rerank endpoint with Rerank 3.5, 4 Fast, and 4 Pro variants, dynamically adjusting relevance scores based on query-document pairs and optional user interaction history. Enables personalized search experiences by tailoring result ordering to individual user preferences without requiring full document re-indexing.

Converts audio input to text via Transcribe endpoint, supporting 14 languages with claimed robustness to conversational speech patterns (background noise, overlapping speakers, informal language). Integrates with generative and retrieval systems to enable end-to-end voice-to-insight workflows.

Provides dedicated, isolated model instances via Model Vault for Embed 4 (Small/Medium), Rerank 3.5/4 Fast/4 Pro, with hourly ($4-5/hr) or monthly ($2,500-$3,250/mo) billing. Enables VPC, on-premises, or Cohere-managed hosting with guaranteed capacity and no shared resource contention, critical for compliance-sensitive or high-throughput applications.

Integrates with pre-built data connectors (via Compass product) to automatically ingest documents from enterprise sources (databases, cloud storage, document management systems) into a managed index, enabling RAG without manual document parsing or indexing infrastructure. Connectors handle authentication, incremental updates, and document parsing.

Automatically provisions free, rate-limited API keys on account signup for non-production experimentation and evaluation. Trial keys enable developers to test all endpoints (/chat, /embed, /rerank, /transcribe) without payment, with unspecified rate limits and explicit non-production use restriction.

Manages API keys at organization level with role-based access control, requiring Owner privileges to activate production keys. Enables multi-user teams to manage API credentials, billing, and usage without sharing keys across team members or exposing production credentials to non-admin users.

Requires explicit application and approval process to activate production API keys, preventing accidental production usage and enabling Cohere to assess use case fit and compliance requirements. Production keys enable pay-as-you-go billing and production-grade SLAs (trial keys have no SLA).

Enables production API calls with usage-based billing (per-token or per-request pricing structure unknown), billed through organization-level billing portal. Provides cost flexibility for variable-volume applications without minimum commitments, with pricing tiers unknown.