Inductor

?? We’re excited to share our new open source Text-to-SQL LLM app starter template! This open source template helps you create AI apps that translate natural language into SQL queries, providing seamless interaction with databases. ?? Key features include: ? Instant playground for prototyping ? Built-in testing and evaluation ??Automated experimentation & optimization ??Comprehensive logging ??Seamless SQL integration ??Integrated SQL query validation ??Schema-aware interactions ??Easy customization Create your next LLM-powered app today! https://bit.ly/3N15PLx #AI #LLM #Opensource #ConversationalAI #SQL #TextToSQL

?? We’re thrilled to launch our new Chat With Your PDFs LLM app starter template! This open source template helps you create AI-driven bots that can interact with PDFs. Whether you’re building conversational knowledge search, a customer support solution, or a document review assistant, this template gives you a powerful head start with key features like: ?? Instant prototyping playground ? Robust test suites ?? Automated experimentation and optimization ?? Comprehensive logging and live monitoring Get started with your next LLM-powered app today! https://bit.ly/3TyTRwp #AI #LLM #OpenSource #Developers #Chatbot #PDF

?? We’re excited to announce Inductor’s partnership with MongoDB and release our latest open-source LLM application starter template, for a documentation Q&A bot leveraging MongoDB vector search. This template simplifies the development of Retrieval-Augmented Generation (RAG)-based LLM applications by combining MongoDB’s high-performance vector search with Inductor’s rapid development and prototyping tools. Key features include: ? Scalable, efficient data retrieval with MongoDB vector search ?? Advanced test suites and automated optimization ?? Auto-generated playground for seamless collaboration ?? Integrated logging for live monitoring Read the blog here: https://bit.ly/3Tu0i3U Check out our partnership here: https://bit.ly/3TqiRFW Accelerate your LLM app development – get started today with the GitHub repo: https://bit.ly/47n9AnM #AI #LLM #MongoDB #OpenSource #DevTools #InductorAI #VectorSearch

Looking to create a production-ready RAG-based LLM app? Walk through our new guide to developer workflows for building and robustifying RAG-based LLM apps. In this guide you’ll learn effective workflows to: ? Build an initial RAG-based LLM app ??Evaluate and iteratively improve your ap ??Implement live logging and monitoring https://bit.ly/4cSxhph

Our new CLI quickstart enables you to get started with Inductor super-quickly! Just open a terminal and $ pip install inductor $ inductor quickstart This will immediately (and for free) get you up and running with a sample LLM application, and using Inductor to enable a rapid, systematic development workflow for going from prototype to production. (You can also visit us at https://inductor.ai to learn more about how Inductor enables rapidly prototyping, evaluating, improving, and observing your LLM app.)

We’re thrilled to launch our first open-source LLM app starter template! To facilitate rapid prototyping and make it easy to get started with a systematic, rapid development process for taking an LLM app from prototype to production, each LLM app starter template includes: ? Application scaffolding ??Out-of-the-box playground UI for rapid prototyping ??Test suite scaffolding for easy evaluation-driven development ??Experimentation scaffolding for systematic improvement ??Production logging scaffolding for production observability Check out our first template for systematically building for documentation Q&A use cases here. https://bit.ly/4clWI2a We’d love your feedback! Comment on this post to request an open-source LLM app starter template for your LLM use case.

Inductor Custom Playgrounds are live on Product Hunt! Learn more here https://lnkd.in/g8dxRgtN We enjoyed introducing Custom Playgrounds at AIQCon yesterday and discussing developer-first workflows for building and shipping production-ready LLM apps with the MLOps Community.

Ariel Kleiner is live at AIQCon! Catch his talk on developer-first workflows for prototyping, evaluating, improving, and monitoring LLM apps here: https://lnkd.in/gKNz4b7F

AIQCon is finally here! Watch Inductor's founder, Ariel Kleiner, live today @ 3:15 pm PDT as he discusses developer-first workflows for prototyping, evaluating, improving, and monitoring LLM apps. https://lnkd.in/gtEaMTjR Thank you MLOps Community for this opportunity to help developers build production-ready LLM apps!

We're excited to announce Custom Playgrounds! With a single CLI command, you can auto-generate a powerful, instantly shareable playground for your LLM app and run it in your environment. Custom Playgrounds provide a developer-first way to loop other team members into your development process, accelerate your own iteration speed, and build high-quality LLM apps fast. Some highlights: ?? Auto-generate a custom playground UI that is customized to your LLM app or feature. ?? Run your playground in your environment with your code and data. ?? Collaborate with colleagues by securely sharing your work, collecting feedback, and leveraging their expertise (for prompt engineering and more). ?? Accelerate your iteration speed with an easy, powerful way to interact with your LLM app and systematically evaluate it (with auto-generated UI, hot-reloading, auto-logging, test suites, and more). Try Custom Playgrounds or learn more here! https://lnkd.in/gb9Rxaha