---
type: entity
subtype: organization
title: "Cohere"
description: "LLM provider added to oTToDev via a community integration; its rerank models are the go-to reranker in Cole's n8n RAG pipelines."
resource: "https://cohere.com"
tags: [llm-provider, reranking, rag]
videos: [your-ultimate-n8n-rag-ai-agent-template-just-got-a-massive-upgrade, our-boltnew-forks-most-requested-feature-is-finally-here]
created: 2026-07-21
updated: 2026-07-21
---

# Cohere

Cohere is an enterprise LLM and embeddings company that shows up in Cole's work in two distinct roles: as a reranking provider inside RAG pipelines, and as a community-contributed model integration in his open-source Bolt.new fork. The reranking role is the one he praises most directly. Reviewing the [n8n](../tools/n8n.md) reranker options, he notes "there's only one option for a reranker right now in N using the Cohere models. But Cohere is actually fantastic." That endorsement matters because reranking is the cheap, high-leverage step that reorders retrieved chunks by true relevance before they reach the LLM.

This puts Cohere squarely in the [RAG](../../concepts/rag.md) tooling layer. In Cole's retrieval stack, initial [chunking](../../concepts/chunking.md) and [context-aware chunking](../../concepts/context-aware-chunking.md) produce candidate passages, vector and keyword search retrieve a broad set, and a Cohere [reranker](../../concepts/reranking.md) then sharpens the final ordering so the model sees the best evidence first. That same relevance-scoring step is what elevates a naive pipeline toward [agentic RAG](../../concepts/agentic-rag.md), where an agent iterates over higher-quality retrievals, and it is especially valuable when the corpus mixes [structured and unstructured data](../../concepts/structured-vs-unstructured-data.md).

Cohere's second appearance is as a swappable model provider. In the [oTToDev](../tools/ottodev.md) fork of Bolt.new, its inclusion came from the community rather than Cole himself: "we have the Cohere integration by Hassan also by Hanan Dynamic model max token links." That detail is a small case study in the community-driven development pattern behind that project, where contributors keep widening the roster of usable model providers, and it underlines Cohere's position as one more interchangeable option in a provider-independent stack.

## Realizes

- [Reranking](../../concepts/reranking.md) - Applying a second, more precise model to reorder an initial candidate set so the most relevant chunks land at the top of the context.

## Works with

- [Retrieval-Augmented Generation (RAG)](../../concepts/rag.md) - Grounding an LLM's answers by retrieving relevant documents from an external knowledge base and injecting them into the prompt at query time.
- [Chunking](../../concepts/chunking.md) - Splitting source documents into appropriately sized, embeddable segments, the foundational preprocessing step that determines RAG retrieval quality.
- [Context-Aware Chunking](../../concepts/context-aware-chunking.md) - Splitting documents along semantic boundaries and enriching chunks with surrounding context to improve retrieval quality.
- [Agentic RAG](../../concepts/agentic-rag.md) - Giving an agent retrieval as a tool so it decides when and how to search a knowledge base, picking strategies and issuing follow-up queries instead of a single static lookup.
- [Structured vs Unstructured Data](../../concepts/structured-vs-unstructured-data.md) - Choosing the right representation for RAG, keeping tabular data queryable as SQL while formatting prose as markdown, rather than forcing everything through vector search.

## Related

- [n8n](../tools/n8n.md) - A no-code AI automation platform for building agents and workflows that integrate with 500+ applications.
- [oTToDev (autod Dev)](../tools/ottodev.md) - Community fork of bolt.new that adds support for any LLM, including local models via Ollama; the tool this video is built around.

## Sources

- [Your ULTIMATE n8n RAG AI Agent Template just got a Massive Upgrade](../../sources/your-ultimate-n8n-rag-ai-agent-template-just-got-a-massive-upgrade.md) - "[0:18:04] there's only one option for a reranker right now in N using the Cohere models. But Cohere is actually fantastic."
- [Our Bolt.new Fork's Most Requested Feature is FINALLY Here](../../sources/our-boltnew-forks-most-requested-feature-is-finally-here.md) - "[0:06:48] we have the Cohere integration by Hassan also by Hanan Dynamic model max token links"
