Best RAG-FiT Alternatives in 2025
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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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Evaluate & improve your LLM applications with RagMetrics. Automate testing, measure performance, and optimize RAG systems for reliable results.
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LightRAG is an advanced RAG system. With a graph structure for text indexing and retrieval, it outperforms existing methods in accuracy and efficiency. Offers complete answers for complex info needs.
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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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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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Find the best-performing RAG setup for YOUR data and use-case with RagBuilder’s hyperparameter tuning. No more endless manual testing.
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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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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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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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UltraRAG 2.0: Build complex RAG pipelines with low-code. Accelerate AI research, simplify development, and ensure reproducible results.
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SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
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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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Agentset is an open-source RAG platform that handles the entire RAG pipeline (parsing, chunking, embedding, retrieval, generation). Optimized for developer efficiency and speed of implementation.
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Accelerate LLM app development in Rust with Rig. Build scalable, type-safe AI applications using a unified API for LLMs & vector stores. Open-source & performant.
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Agenta is an open-source Platform to build LLM Application. It includes tools for prompt engineering, evaluation, deployment, and monitoring.
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Build AI apps faster with Cloudflare AutoRAG. Managed RAG pipelines use your data for smarter, context-aware responses.
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Introducing RAGstack, a secure, scalable ChatGPT alternative. Connect your knowledge base, empower customer support, and automate document processing with powerful open-source LLMs like GPT4All. Discover the benefits of custom AI solutions for your organization.
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Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows.
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ML is difficult, so is finetuning. But what if you could get your text-to-image model, or your LLM finetuned in no time? FinetuneFast is the ML model boilerplate to finetune and ship AI models and SaaS in production.
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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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VARAG is a pioneering Retrieval-Augmented Generation tool, emphasizing visual data. Seamlessly integrating visual and textual content, it's ideal for complex documents. .
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ApeRAG: Production-ready GraphRAG for intelligent AI agents. Unlock deep context & reliable reasoning from all your multi-modal enterprise data.
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ChanceRAG is an enterprise-grade RAG solution. Combines hybrid retrieval, Mistral's model & Annoy. Boosts accuracy, handles large datasets. Customizable for all. Expert support.
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bRAG AI is a platform that allows users to design, customize, and share AI avatars, chat with files, and retrieve accurate, real-time answers powered by GPT-4 and advanced retrieval mechanisms.
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Transformer Lab: An open - source platform for building, tuning, and running LLMs locally without coding. Download 100s of models, finetune across hardware, chat, evaluate, and more.
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Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning - Revolutionary framework moving Pareto Frontier with 33.6% lower token cost and 16.62% higher accuracy over SOTA baselines.
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Create custom AI models with ease using Ludwig. Scale, optimize, and experiment effortlessly with declarative configuration and expert-level control.
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EasyFinetune offers diverse, curated datasets for LLM fine-tuning. Custom options available. Streamline workflow & accelerate model optimization. Unlock LLM potential!
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Build cheaper, faster, smarter custom AI models. FinetuneDB helps you fine-tune LLMs with your data for better performance & lower costs.