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Comprehensive architecture open-source Tools for Every Need

Get access to architecture open-source solutions that address multiple requirements. One-stop resources for streamlined workflows.

architecture open-source

  • RAGApp

    RAGApp simplifies building retrieval-augmented chatbots by integrating vector databases, LLMs, and toolchains in a low-code framework.
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    What is RAGApp?
    RAGApp is designed to simplify the entire RAG pipeline by providing out-of-the-box integrations with popular vector databases (FAISS, Pinecone, Chroma, Qdrant) and large language models (OpenAI, Anthropic, Hugging Face). It includes data ingestion tools to convert documents into embeddings, context-aware retrieval mechanisms for precise knowledge selection, and a built-in chat UI or REST API server for deployment. Developers can easily extend or replace any component—add custom preprocessors, integrate external APIs as tools, or swap LLM providers—while leveraging Docker and CLI tooling for rapid prototyping and production deployment.
    RAGApp Core Features
    • Modular connectors to FAISS, Pinecone, Chroma, Qdrant
    • Plug-and-play LLM integrations (OpenAI, Anthropic, Hugging Face)
    • Document ingestion and embedding pipeline
    • Context-aware retrieval for accurate answers
    • Built-in chat UI and REST API server
    • CLI tooling for project scaffolding
    • Custom tool and external API orchestration
    • Docker-ready deployment

  • MAGI

    MAGI is an open-source modular AI agent framework for dynamic tool integration, memory management, and multi-step workflow planning.
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    What is MAGI?
    MAGI (Modular AI Generative Intelligence) is an open-source framework designed to simplify the creation and management of AI agents. It offers a plugin architecture for custom tool integration, persistent memory modules, chain-of-thought planning, and real-time orchestration of multi-step workflows. Developers can register external APIs or local scripts as agent tools, configure memory backends, and define task policies. MAGI's extensible design supports both synchronous and asynchronous tasks, making it ideal for chatbots, automation pipelines, and research prototypes.
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