Best Embedchain Alternatives in 2025
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FastEmbed is a lightweight, fast, Python library built for embedding generation. We support popular text models. Please open a Github issue if you want us to add a new model.
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Connect external data to AI apps in minutes! Use the fastest way to link a retrieval engine for LLMs. With one API call, connect any data like websites, files. Built - in ingestion, processing, and syncing. Unified search, zero - setup vector database. Fair pricing, no markups. Join waitlist for early access.
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Add powerful, multi-tenant AI search to your app fast! LiquidIndex handles the backend, so you don't have to.
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Unify 2200+ LLMs with backboard.io's API. Get persistent AI memory & RAG to build smarter, context-aware applications without fragmentation.
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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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EmbedAI: Build a custom website AI chatbot. Train it on your data (files, site, YouTube) for instant, accurate answers.
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Build AI apps and chatbots effortlessly with LLMStack. Integrate multiple models, customize applications, and collaborate effortlessly. Get started now!
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Chainlit: Rapidly build production AI apps! Open-source Python, visualize AI reasoning, LangChain, OpenAI & more.
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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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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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Discover the power of LangChain's integration of LLMs with external data. Build transformative apps by combining language models with other sources.
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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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Literal AI: Observability & Evaluation for RAG & LLMs. Debug, monitor, optimize performance & ensure production-ready AI apps.
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Integrate local AI capabilities into your applications with Embeddable AI. Lightweight, cross-platform, and multi-modal - power up your app today!
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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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Haystack: The open-source Python framework to build & deploy production-ready LLM applications. Flexible, modular, and built for scale.
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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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Graphlit is an API-first platform for developers building AI-powered applications with unstructured data, which leverage domain knowledge in any vertical market such as legal, sales, entertainment, healthcare or engineering.
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Helix is a private GenAI stack for building AI agents with declarative pipelines, knowledge (RAG), API bindings, and first-class testing.
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BISHENG: Open LLM DevOps platform for enterprise AI. Deploy & manage GenAI from prototype to production with advanced orchestration, RAG, & Human-in-the-Loop.
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Genkit is an open-source framework for building full-stack AI-powered applications, built and used in production by Google's Firebase.
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LlamaIndex builds intelligent AI agents over your enterprise data. Power LLMs with advanced RAG, turning complex documents into reliable, actionable insights.
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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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RAGFlow: The RAG engine for production AI. Build accurate, reliable LLM apps with deep document understanding, grounded citations & reduced hallucinations.
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CocoInsight is a companion tool that provides observability into your CocoIndex pipelines. It helps you visualize data transformations, understand lineage, compare configurations (like different chunking methods), and ultimately optimize your indexing strategy.
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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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Superexpert.AI: Open source platform for developers. Build flexible AI agents easily with no code, custom tools, RAG. Get full control and deploy anywhere.
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TaskingAI brings Firebase's simplicity to AI-native app development. Start your project by selecting an LLM model, build a responsive assistant supported by stateful APIs, and enhance its capabilities with managed memory, tool integrations, and augmented generation system.
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Build custom AI agents fast with Open Agent Kit! Open-source, flexible, & deployable anywhere. Connect LLMs & extend with plugins.
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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.