FlowiseAI/Flowise

[FEATURE] Custom Cohere ReRank API endpoints

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#4086 opened on Feb 26, 2025

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 (3 comments) (0 reactions) (0 assignees)TypeScript (52,823 stars) (24,335 forks)batch import
enhancementhelp wanted

Description

Cohere allows users to create custom fine-tuned rerank models, but the current rerank node doesn't allow us to set such a model. Perhaps it could be added as an option under additional parameters? I believe @gururise did the implementation for 3.5, is this something you could look into?

Contributor guide

Tech stack
typescriptnodejsrest api
Domain
backendapi
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
Basic knowledge of TypeScriptFamiliarity with REST API integrationUnderstanding of Cohere API
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
45
Research direction
First, locate the rerank node implementation in the Flowise codebase (likely under packages/components/nodes/rerank). Review the current Cohere rerank API call and identify where additional parameters are passed. Look at how the custom model field could be added, possibly in the node's configuration form (e.g., a text input for model name). Check the Cohere API documentation for fine tuned rerank model endpoints. Also examine any previous PR by @gururise for reference on how they implemented similar parameter additions. Then implement the change to accept an optional model parameter and pass it to the API request.