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@ENDEVSOLS

EnDevSols

Custom AI and enterprise software solutions
README.md

EnDevSols

EnDevSols delivers custom Generative AI and enterprise software solutions for organizations building modern digital products, autonomous systems, and scalable business platforms.

We work with startups, enterprises, and growing teams to design and deliver reliable, production-ready solutions aligned with real business needs.

Focus Areas

  • Generative AI & Autonomous AI Agents
  • LLM Integration & RAG (Retrieval-Augmented Generation)
  • Business automation systems
  • SaaS and platform development
  • Enterprise application development

Major Technologies & Tech Stack

  • Generative AI & Agents: LangChain, LangGraph, AI Agents, LLMs (OpenAI, Anthropic), RAG, Vector Databases
  • Machine Learning & Core AI: Python, PyTorch, Computer Vision, NLP
  • Frontend & Full-Stack: React, Next.js, TypeScript
  • Backend & APIs: FastAPI, Node.js, Python
  • Cloud & Infrastructure: AWS (EC2, Bedrock), Docker, PostgreSQL

Contact

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  1. Long-Trainer Long-Trainer Public

    Production-ready RAG framework for Python — multi-tenant chatbots with streaming, tool calling, agent mode (LangGraph), vector search (FAISS), and persistent MongoDB memory. Built on LangChain.

    Python 16 3

  2. LongTracer LongTracer Public

    Detect hallucinations in LLM responses. Verify every claim against source documents using hybrid STS + NLI. Works with LangChain, LlamaIndex, or any RAG pipeline. pip install longtracer

    Python 28 4

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