Trainkore
Overview of Trainkore
Trainkore: Automate Prompts and Save 85% on LLM Costs
What is Trainkore?
Trainkore is a prompting and RAG (Retrieval Augmented Generation) platform designed to automate prompts, facilitate model switching, and streamline the evaluation process. It helps businesses save up to 85% on Large Language Model (LLM) costs.
Key Features and Benefits:
- Auto Prompt Generation: Dynamically generate prompts for various use cases, optimizing model performance.
- Model Router: Automatically select the cost-optimized model from a dropdown, ensuring higher performance at a lower cost.
- Observability Suite: Gain insights from key metrics and debug with detailed logs.
- Prompt Versioning: Manage and iterate on prompts across your organization with a best-in-class playground.
- Integration: Works seamlessly with OpenAI and other AI providers, and natively integrates with Langchain, LlamaIndex, and more.
How to Use Trainkore:
- Integrate: Easily integrate Trainkore using Node.js, Python, or Curl.
- Create Prompts: Use the interactive playground to manage and iterate on prompts.
- Select Models: Choose from a variety of models, including OpenAI, Gemini, Cohere, Anthropic, and Azure.
- Automate: Automate prompt generation, model switching, and evaluation processes.
Why is Trainkore important?
Trainkore enables subject matter experts to become the best prompt engineers by providing them with the tools to understand their users and optimize AI performance. It offers a unified platform for managing LLMs, iterative logs, and performance analysis.
Advanced Controls:
- Auto prompt generation for any model.
- Dynamically generate prompts for various use cases.
- Get insights from the most important metrics and debug with detailed logs.
Where can I use Trainkore?
Trainkore can be used in various applications, including:
- Chatbots
- Content generation
- Data analysis
- Customer service
Software Standard: LLMs in a unified platform
Building good AI is about understanding your users. That's why subject matter experts are the best prompt engineers.
- Best-in-class Playground - Manage and iterate on prompts across your organization.
- All the models - OpenAI, Anthropic, Llama2 and your own models.
- Model Switching - Automatically switch to the best model based on your prompts.
- Iterative Logs and performance analysis - Get the input,output, rating , prompts , metadata and many more
- Model agnostic template for every model
Trainkore offers a powerful platform for optimizing LLM performance and reducing costs. Try it today to automate your prompts and improve your AI workflows.
Best Alternative Tools to "Trainkore"
Parea AI is an AI experimentation and annotation platform that helps teams confidently ship LLM applications. It offers features for experiment tracking, observability, human review, and prompt deployment.
Zep is a context engineering platform for building personalized AI agents. It features agent memory, graph RAG, and automated context assembly, enabling agents to recall important details and access relevant data.
Parea AI is the ultimate experimentation and human annotation platform for AI teams, enabling seamless LLM evaluation, prompt testing, and production deployment to build reliable AI applications.
Klu is a next-gen LLM App Platform designed to help teams confidently iterate, evaluate, and optimize LLM-powered applications. Collaborate on prompts, track changes, and rapidly iterate with insights.
BuildOwn.AI: A developer's guide to building real-world AI applications using large language models (LLMs).
Train, manage, and evaluate custom large language models (LLMs) fast and efficiently on Entry Point AI with no code required.
Quixl: No-code AI agent development platform empowers organizations to harness Gen AI to drive efficiency and transform operations.
Teammately is the AI Agent for AI Engineers, automating and fast-tracking every step of building reliable AI at scale. Build production-grade AI faster with prompt generation, RAG, and observability.
Build task-oriented custom agents for your codebase that perform engineering tasks with high precision powered by intelligence and context from your data. Build agents for use cases like system design, debugging, integration testing, onboarding etc.
UsageGuard provides a unified AI platform for secure access to LLMs from OpenAI, Anthropic, and more, featuring built-in safeguards, cost optimization, real-time monitoring, and enterprise-grade security to streamline AI development.
Allganize provides secure enterprise AI solutions with advanced LLM technology, featuring agentic RAG, no-code AI builders, and on-premise deployment for data sovereignty.
Lunary is an open-source LLM engineering platform providing observability, prompt management, and analytics for building reliable AI applications. It offers tools for debugging, tracking performance, and ensuring data security.
Prodigy: A downloadable annotation tool for AI, ML & NLP tasks. Train models with real-world examples. Runs locally, full privacy.
Weco AI automates machine learning experiments using AIDE ML technology, optimizing ML pipelines through AI-driven code evaluation and systematic experimentation for improved accuracy and performance metrics.