Bring Embeddings
to Pydantic AI

Connect your Cohere account to any AI agent and take full control of your enterprise AI and RAG workflows through natural conversation.

What you can do

• Text Embeddings — Generate precise dense vector shapes for plain strings to power semantic search and knowledge retrieval
• Semantic Reranking — Structure contextual chunks by priority ordering documents against specific queries for improved RAG accuracy
• Conversational AI — Execute formatted conversational transformations using Cohere's generation limits and state-of-the-art LLMs
• Text Classification — Categorize inputs into predefined labels using few-shot training blocks and extract confidence scores
• Tokenization — Retrieve exact structural segmentation of NLP contexts to audit token counts and model dictionaries
• Model Registry — Enumerate available Cohere models and hashes to verify API availability based on your plan

How it works

1. Subscribe to this server
2. Enter your Cohere API Key (Trial or Production key from the Dashboard)
3. Start optimizing your RAG pipelines from Claude, Cursor, or any MCP-compatible client

Who is this for?

• AI Developers — test and debug embedding and reranking logic without writing boilerplate code
• Data Scientists — evaluate semantic matching accuracy and text classification confidence in real-time
• Product Teams — quickly prototype search and retrieval features using enterprise-grade AI models
• LLM Engineers — audit tokenization and model availability for complex conversational workflows