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An experimental Simple RAG configurable to use any LLM model and any Embeddings model, using Langchain, Flask-SocketIO, and Llamacpp, ChromaDB, transformers

License: MIT License

Dockerfile 1.74% Python 79.94% Batchfile 1.00% HTML 15.14% Shell 2.18%
flask langchain llm machine-learning python rag vectorstore

llm-simple-rag's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @erickfmm, currently working as a Junior Developer on the Ministry of Education, Chile
  • ๐Ÿ‘€ Iโ€™m interested in Backend development, maths, statistics, machine learning, databases and more
  • ๐ŸŒฑ Iโ€™m currently learning machine learning in its various shapes, specially algorithms that allows to work in efficient ways with not so much data
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on any free open source project (or maybe not) that helps developers to be more efficient, and making the world a better place
  • ๐Ÿ“ซ You can reach me here, send me a message or maybe just the life will join us

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