Anik Chand

Anik Chand

AIML Engineer | Open Source
#85641812 followers2 following
#12,146Last month
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#69,221Last year
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>10,000All time
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About

Computer Science undergraduate and ML engineer focused on building practical AI systems and developer tools. Interested in NLP, LLM applications, RAG pipelines, semantic search, and AI infrastructure. I enjoy creating reusable and developer-friendly AI workflows. Built projects using FastAPI, vector databases, local embeddings, and production-style ML pipelines. Open-source contributor with work around AI tooling and developer infrastructure. Currently exploring RAG architectures, local/provider-flexible LLM systems, and AI infrastructure tooling. Tech: Python • PyTorch • TensorFlow • FastAPI • Transformers • FAISS • Docker

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Maker History

  • RagBucket
    RagBucketBuild once. Query anywhere with portable RAG artifacts
    May 2026
  • Quizly
    QuizlyYour AI powered personal quiz generator, anytime!!
    May 2025
    • 🎉
    Joined Product HuntMay 26th, 2025

Forums

Anik Chand•

12d ago

RagBucket - Build once. Query anywhere with portable RAG artifacts

RagBucket packages semantic vectors, FAISS indexes, chunks, retrieval memory, and runtime metadata into a single portable `.rag` artifact. Most RAG systems today are tightly coupled to vector DBs and retrieval pipelines. RagBucket makes retrieval memory portable and reusable across projects, environments, and providers. Build once. Query anywhere. Supports: • OpenAI • Cohere • Gemini • Voyage AI • Groq • Anthropic • Local SentenceTransformers
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