Best Rig Alternatives in 2025
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Accelerate reliable GenAI development. Ragbits offers modular, type-safe building blocks for LLM, RAG, & data pipelines. Build robust AI apps faster.
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Embedchain: The open-source RAG framework to simplify building & deploying personalized LLM apps. Go from prototype to production with ease & control.
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OpenRag is a lightweight, modular and extensible Retrieval-Augmented Generation (RAG) framework designed to explore and test advanced RAG techniques — 100% open source and focused on experimentation, not lock-in.
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Ragdoll AI simplifies retrieval augmented generation for no-code and low-code teams. Connect your data, configure settings, and deploy powerful RAG APIs quickly.
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LangDB AI Gateway is your all - in - one command center for AI workflows. It offers unified access to 150+ models, up to 70% cost savings with smart routing, and seamless integration.
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Create robust AI agents visually with Rivet. Debug live LLM workflows, collaborate easily, and integrate into your app. Open-source.
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RAGFlow: The RAG engine for production AI. Build accurate, reliable LLM apps with deep document understanding, grounded citations & reduced hallucinations.
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HelloRAG is a no-code, easy-to-use and scalable solution to ingest human and machine generated multi-modal data for LLM-powered applications
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Ruby AI simplified! RubyLLM: Single API for top AI models (OpenAI, Gemini, Anthropic, DeepSeek). Build AI apps easily with chat, images, PDFs, streaming, & more.
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LazyLLM: Low-code for multi-agent LLM apps. Build, iterate & deploy complex AI solutions fast, from prototype to production. Focus on algorithms, not engineering.
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Infinity is a cutting-edge AI-native database that provides a wide range of search capabilities for rich data types such as dense vector, sparse vector, tensor, full-text, and structured data. It provides robust support for various LLM applications, including search, recommenders, question-answering, conversational AI, copilot, content generation, and many more RAG (Retrieval-augmented Generation) applications.
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SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
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Shimmy: Zero-config Rust server for local LLMs. Seamless OpenAI API compatibility means no code changes. Fast, private GGUF/SafeTensors inference.
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Langbase empowers any developer to build & deploy advanced serverless AI agents & apps. Access 250+ LLMs and composable AI pipes easily. Simplify AI dev.
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AXAR AI is a lightweight framework for building production-ready agentic applications using TypeScript. It’s designed to help you create robust, production-grade LLM-powered apps using familiar coding practices—no unnecessary abstractions, no steep learning curve.
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Stop guessing. Ragas provides systematic, data-driven evaluation for LLM applications. Test, monitor, and improve your AI with confidence.
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Ragie is a fully managed RAG-as-a-Service built for developers, offering easy-to-use APIs/SDKs, instant connectivity to Google Drive/Notion/and more, and advanced features like summary index and hybrid search to help your app deliver state-of-the art GenAI.
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Ragcy turns your custom business data into powerful AI assistants. Build no-code chatbots, knowledge bases & search tools, no complex vector DBs.
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Cognita: The modular RAG framework for MLOps. Build scalable, production-ready RAG applications from your prototypes.
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LanceDB: Blazing-fast vector search & multimodal data lakehouse for AI. Unify petabyte-scale data to build & train production-ready AI apps.
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Literal AI: Observability & Evaluation for RAG & LLMs. Debug, monitor, optimize performance & ensure production-ready AI apps.
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BAML helps developers build 10x more reliable, type-safe AI agents. Get structured outputs from any LLM & streamline your AI development workflow.
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Laminar: The open-source platform for AI agent developers. Monitor, debug & improve agent performance with real-time observability, powerful evaluations & SQL insights.
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RagaAI Catalyst: The unified platform for building & deploying reliable AI agents. Get end-to-end testing, LLM guardrails, & multi-agent tools.
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Boost your LLMs with RAG-FiT: a modular framework for Retrieval-Augmented Generation optimization. Fine-tune, evaluate, and deploy smarter models effortlessly. Explore RAG-FiT now!
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LLMWare.ai enables developers to create enterprise AI apps easily. With 50+ specialized models, no GPU needed, and secure integration, it's ideal for finance, legal, and more.
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Enhance your RAG! Cognee's open-source semantic memory builds knowledge graphs, improving LLM accuracy and reducing hallucinations.
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Meet Langdock, a GDPR-compliant chat assistant that empowers teams. With multiple models, file support, and multiplayer collaboration, Langdock enhances productivity and ensures data privacy.
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Evaluate & improve your LLM applications with RagMetrics. Automate testing, measure performance, and optimize RAG systems for reliable results.
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Create custom AI models with ease using Ludwig. Scale, optimize, and experiment effortlessly with declarative configuration and expert-level control.