Orquesta

Orquesta is a real-time collaboration and no-code platform that infuses your SaaS with LLM (Large Language Model) capabilities. It offers LLM Ops, Prompt Management, Prompt Engineering, and Remote Configurations to help you experiment, operate, and gain real-time observability of your SaaS and LLM Ops.

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AI Directory : AI Analytics Assistant, AI Knowledge Base, AI Knowledge Management, Large Language Models (LLMs), Prompt

Orquesta Website screenshot

What is Orquesta?

Orquesta is a real-time collaboration and no-code platform that infuses your SaaS with LLM (Large Language Model) capabilities. It offers LLM Ops, Prompt Management, Prompt Engineering, and Remote Configurations to help you experiment, operate, and gain real-time observability of your SaaS and LLM Ops.

How to use Orquesta?

To use Orquesta, you can start by signing up for early access or scheduling a demo on their website. Once onboarded, you can integrate Orquesta into your SaaS by following the provided documentation and SDKs. Orquesta provides a no-code collaboration tooling for prompt engineering, experimentation, operations, and monitoring. It allows you to manage your use of public and private LLMs from a single source with transparency on performance and costs. You can speed up time-to-market by adapting new LLM providers, models, and features easily. Orquesta empowers your product teams to experiment and collaborate with LLM Ops and prompt engineering, reducing engineering time and increasing transparency within teams.

Orquesta's Core Features

LLM Ops

Prompt Management

Prompt Engineering

Remote Configurations

Real-time Collaboration

No-code Platform

Experimentation

Operations Monitoring

Quantitative Feedback Collection

Qualitative Feedback Collection

Product Management

Business Rules Management

Knowledge Center

Orquesta's Use Cases

Infusing SaaS with LLM capabilities

Speeding up time-to-market

Collaborative prompt engineering

Experimenting in production

Real-time performance and cost monitoring

Customizing and localizing prompts

Empowering product teams for continuous improvement

FAQ from Orquesta

What is Orquesta?

Orquesta is a real-time collaboration and no-code platform that infuses your SaaS with LLM (Large Language Model) capabilities. It offers LLM Ops, Prompt Management, Prompt Engineering, and Remote Configurations to help you experiment, operate, and gain real-time observability of your SaaS and LLM Ops.

How to use Orquesta?

To use Orquesta, you can start by signing up for early access or scheduling a demo on their website. Once onboarded, you can integrate Orquesta into your SaaS by following the provided documentation and SDKs. Orquesta provides a no-code collaboration tooling for prompt engineering, experimentation, operations, and monitoring. It allows you to manage your use of public and private LLMs from a single source with transparency on performance and costs. You can speed up time-to-market by adapting new LLM providers, models, and features easily. Orquesta empowers your product teams to experiment and collaborate with LLM Ops and prompt engineering, reducing engineering time and increasing transparency within teams.

How does Orquesta help speed up time-to-market?

Orquesta allows you to adapt new LLM providers, models, and features easily. It minimizes the cost of failure for experimentation and operations in production, and enables you to gather real-world feedback to make continuous improvements.

What are the core features of Orquesta?

Orquesta offers LLM Ops, Prompt Management, Prompt Engineering, Remote Configurations, real-time collaboration, no-code platform, experimentation, operations monitoring, quantitative and qualitative feedback collection, product management, business rules management, and a knowledge center.

What are the use cases of Orquesta?

Orquesta can be used for infusing SaaS with LLM capabilities, speeding up time-to-market, collaborative prompt engineering, experimenting in production, real-time performance and cost monitoring, customizing and localizing prompts, and empowering product teams for continuous improvement.

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