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Teammate Lang

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About

Teammate Lang is an innovative platform designed for developers building Generative AI (GenAI) applications. It promotes an iterative approach to prompt engineering, allowing users to create programmable GenAI apps without hard-coding prompts. The platform includes an observability framework across the entire GenAI DevOps cycle, focusing on metrics like accuracy and quality of outputs. It facilitates effortless integration and offers a no-code approach for Retrieval Augmented Generation (RAG), decreasing the risk of hallucinations in LLM apps. Its features include multiple prompt chains, version management, A/B testing, and seamless integration with various generative models. Teammate Lang empowers developers through its open-source community initiatives, promoting sharing and collaboration among GenAI engineers. The platform also provides a serverless inference API for open-source models and a comprehensive suite for analyzing LLM app quality metrics. Overall, Teammate Lang delivers powerful tools for building advanced, reliable, and production-ready GenAI applications.

Platform

Keywords

generative ai prompt engineering rag llm observability open-source community

Task

prompt engineering

Features

• iterative prompt engineering

• no-code rag builder

• multiple prompt chains

• version management and a/b testing

• comprehensive llm observability

FAQs

What is Teammate Lang?

Teammate Lang is a platform for creating and managing Generative AI applications with a focus on iterative prompt engineering.

How does the iterative framework benefit developers?

The iterative framework allows developers to refine prompts continuously, improving the accuracy and quality of outputs over time.

What is the purpose of RAG?

RAG (Retrieval Augmented Generation) helps enhance the output of LLMs by retrieving relevant information dynamically during generation.

Is there community support for developers?

Yes, Teammate Lang fosters an open-source community for developers to share and showcase their expertise.

How can I integrate multiple generative models?

Integration of multiple generative models can be done effortlessly using our platform's no-code capabilities.

Pricing Plans

Free

• Access to basic features

• Community support

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