Vishakha Rag lib
A simple RAG (Retrival-Agumented-Generation) Library Using PDFs and LLMs.
Features
-Load Pdf files -Chuks texts -generate embeddings -store in vector database -search nearast vectors -Retirive revelant Data -Connect With any LLM Api
Usage
''' Python from vish_rag_lib import RAGSystem
rag=RAGSystem() rag.ingest("Sample.pdf")
def my_llm(prompt): return "LLM respones" answer=rag.ask("What is AI?",my_llm) print(answer)
Installation
pip install vish-rag-lib
Work-Flow-RAG
Chunks-Text divided into small Parts Embedding-Sentence convert into meaining base vectors vectors-Loading embeddings search the similar queary answers Retriever- User queary storted in vectorDB (Most relevan chunks search)
1 maintainer
Metadata
1 maintainer
Release files for vish-rag-lib 0.1.8
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Release files / vish_rag_lib-0.1.8.tar.gz
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