At MiT Software we integrate Cohere Command R+ into your business to build high-precision RAG systems that connect AI to your corporate knowledge base. Cohere is the reference model for enterprise semantic search, document analysis and verifiable information retrieval. We deploy with EU infrastructure and self-hosted options, with documented GDPR and EU AI Act compliance. We connect Cohere with SharePoint, Salesforce, SAP and any document repository.
Custom Cohere Integration for Businesses
Cohere Command R+ is designed from the ground up for RAG (Retrieval Augmented Generation) architectures in enterprise environments. While models like GPT-5 or Claude are excellent generalists, Command R+ has been specifically optimised for retrieving relevant information from large document corpora and synthesising it into precise responses with traceable references. For companies with large corporate knowledge bases — technical manuals, internal policies, ticket history, product documentation — Cohere offers superior retrieval precision compared to more expensive generalist models. Cohere's multilingual embeddings are especially relevant for European companies operating in multiple languages: Spanish, English, French, German and Portuguese with the same level of semantic precision. Cohere offers deployment options on EU cloud infrastructure and self-hosting for organisations with maximum privacy requirements, making it a solid alternative for regulated European sectors needing control over where their document data is processed.
We analyse your specific use case to determine if Command R+ is the optimal choice: documentation type, languages, query volume and precision requirements. For use cases centred on document retrieval and synthesis, Cohere often outperforms more expensive generalist models.
We design the complete RAG architecture: document chunking strategy, embedding generation, vector database configuration (Pinecone, Weaviate, pgvector), index update pipeline and retrieval and reranking logic.
We implement connectors with your information repositories, the indexing pipeline with Cohere embeddings, the retrieval logic and the query interface exposing RAG capabilities to your end users or enterprise applications.
We establish the data architecture compliant with GDPR, formalise the DPA with Cohere, prepare the DPIA if applicable and produce EU AI Act documentation for your enterprise semantic search system.
We measure the RAG system's precision with real queries from your environment, compare performance against alternatives and tune the configuration (chunk size, top-k, reranking) to maximise response relevance and precision.
We keep the indexing pipeline updated with new documents, monitor response quality in production and evolve the system by incorporating new Cohere capabilities as they become available.
Cohere Command R+ is the reference model for RAG (Retrieval Augmented Generation) architectures in enterprise environments. Specifically designed for information retrieval and synthesis, it outperforms generalist models in semantic search, document analysis and response based on verifiable sources. Ideal for corporate knowledge bases, technical support and document management.
Cohere offers deployment on EU cloud infrastructure and self-hosting options for organisations with maximum privacy requirements. For regulated European sectors, this architectural flexibility makes Cohere a solid alternative to large generalist models with lower infrastructure requirements.
We build RAG architectures with Cohere Command R+ that index your internal documentation, technical manuals, corporate policies, ticket history and any knowledge repository. The model retrieves the most relevant information and generates verifiable responses with traceable references to source documents.
We connect Cohere with your company's information repositories: SharePoint, Confluence, Salesforce Knowledge, SAP technical documentation, SQL databases and internal APIs. Enterprise semantic search that understands query context and retrieves precise information regardless of format.
Cohere's embeddings offer one of the best vector representations on the market for multilingual business text. We implement semantic search engines, automatic document classification systems, duplicate detection and content recommendation based on Cohere embeddings.
We configure Cohere's deployment on EU infrastructure or assess the viability of self-hosting based on your regulatory requirements. We formalise the DPA with Cohere, document the data processing architecture and prepare the DPIA assessment for your DPO.
RAG and semantic search systems can be classified as limited-risk AI systems under the EU AI Act, with mainly transparency obligations. We prepare technical documentation suited to your specific use case and define the human oversight mechanisms required.
We develop agents with multi-source enterprise search capabilities using Command R+'s tool use features. Agents that simultaneously query SharePoint, Salesforce, internal databases and external sources to answer complex questions with up-to-date, verifiable information.
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