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Best 20+ Tools for AI Engineers in 2025

The AI Engineer develops and implements artificial intelligence systems and machine learning solutions. They design algorithms, train models, optimize performance, integrate AI into applications, conduct data analysis, and work to create intelligent systems that automate processes and enhance decision-making capabilities.

27 active tools
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Qdrant

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Qdrant is a vector database that stores and searches high-dimensional data using advanced technology. Unlike traditional databases that store exact text or numbers, Qdrant works with vectors—mathematical representations of complex information. This makes it perfect for finding similar items based on meaning rather than exact matches.

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SinglebaseCloud

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SinglebaseCloud is a complete backend platform that lets you build AI applications with modern features. It provides a vector database for storing AI embeddings, a NoSQL database for regular data, user authentication, file storage, and AI tools like similarity search and RAG pipelines.

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Turso

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Turso is a database service that takes SQLite and makes it ready for large-scale production use. You can create as many databases as you need, and they work just like SQLite but with added cloud features. Each database can be replicated to different parts of the world, making your app faster for users everywhere.

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Milvus

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Milvus is a database specifically built to store and search vector embeddings. When you use AI models to process text, images, or other data, they create numerical vectors that represent the meaning of that data. Milvus organizes these vectors so you can quickly find similar items.

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Neon

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Neon is a cloud database service built on Postgres, the most trusted open source database. It separates storage and computing power into two independent parts, allowing each to scale separately. This design means your database can grow or shrink automatically based on your needs, and it can even scale down to zero when not in use to save money.

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Vellum

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Vellum is a platform that helps you create AI applications from start to finish. You can build chatbots, content tools, data analysis systems, or custom AI assistants. The platform works with all major AI models including GPT-4, Claude, and open source options.

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Dify

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Dify is a complete platform for building AI-powered applications using a visual interface. You can create workflows by connecting different components without writing code. The platform supports many AI models from providers like OpenAI, Anthropic, and others, letting you switch between them easily.

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Dagster

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Dagster is a tool that helps organize and run your data workflows automatically. Think of it as a smart manager for all your data tasks. Instead of manually running scripts or remembering which files depend on others, Dagster handles this for you.

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Claude Code

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Claude Code is a terminal-based AI assistant that understands your entire codebase and helps you code faster. You simply describe what you want in plain English, and it writes the code, makes changes across multiple files, and runs tests to verify everything works.

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Forgecode

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Forgecode is a lightweight AI pair programmer that lives in your terminal. Unlike heavy coding tools that require special setup, Forgecode works where you already code. You simply type commands or questions, and it helps you write, debug, review, and understand code.

Best 20+ Tools for AI Engineers in 2025