GitHub / arjbingly / grag

GRAG is a simple python package that provides an easy end-to-end solution for implementing Retrieval Augmented Generation (RAG). The package offers an easy way for running various LLMs locally, Thanks to LlamaCpp and also supports vector stores like Chroma and DeepLake.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arjbingly%2Fgrag

Topics: llm, quantization, rag, retrieval, retrieval-augmented-generation

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