Cohere
Build incredible products with world-class language AI
Simplify using OpenAI, Azure, Cohere, Anthropic, Replicate, Google LLM APIs. TLDR Call all LLM APIs using the chatGPT format - completion(model, messages) Consistent outputs and exceptions for all LLM APIs Logging and Error Tracking for all models
Reviews for Cohere
Hear what real users highlight about this tool.
Reviews highlight Cohere as reliable, efficient, and enterprise-ready, with strong writing quality and high-throughput performance. Makers of Liveblocks praise its cost-effective embeddings for document indexing and knowledge bases. Makers of CustomGPT report its multimodal embeddings outperform GPT‑Vision for selecting contextually relevant article images. Makers of Meilisearch credit the 3.5 reranker for better personalization and search precision. Users describe well-structured outputs and competitive capabilities, noting it excels at instructional workflows and scales smoothly for high-volume prompting in enterprise settings.
This AI-generated snapshot distills top reviewer sentiments.
We use Cohere 3.5 reranker for our personalization feature
Cohere reranking greatly improved the results of our RAG
Embed V4 is the smartest multimodal embedding model on the market.
We chose Cohere because it delivers fast, reliable, and accurate language understanding, with developer-friendly APIs. It helped us build a smart assistant that feels natural in conversations with local users.
Cohere's embedding models are the only ones that handle both text and images across 100+ languages. While OpenAI embeddings work for English, Cohere future-proofs our AI brand monitoring for global companies. Their API is reliable and the vector quality is consistently better than alternatives I tested.
I chose Cohere for its exceptional ability to handle vector embeddings. Their models provide precise and efficient semantic search capabilities, which is crucial for matching interview responses with job description-specific questions and ensuring relevant feedback.
Very underrated workhorse of a large language model. Particularly useful for more instructional workflows. supports high volume prompting with ease.
Cohere's Rerank Library: Enhancing AI Chatbot Responses We prefer Cohere's Rerank library for its advanced language models, which significantly improve our chatbot's response quality by reordering retrieved data from vector databases. Its seamless integration and dependable performance distinguish it from other solutions.
We use Cohere's rerank capability in our free version, just like Modal. This is of great help to us who don't have abundant funds.
Their rerank is the future. It powers the core of our search engine. Gives accurate and fast results every time. Love this team and really believe in their approach to retrieval.