https://github.com/ishwarya254/rag_openai

RAG_OpenAI is an advanced Retrieval-Augmented Generation (RAG) system using "gpt-4o-mini" model. This project integrates state-of-the-art natural language processing (NLP) techniques to enable accurate and context-aware question answering.
https://github.com/ishwarya254/rag_openai

openai pinecone rag vectordb

Last synced: 21 days ago
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RAG_OpenAI is an advanced Retrieval-Augmented Generation (RAG) system using "gpt-4o-mini" model. This project integrates state-of-the-art natural language processing (NLP) techniques to enable accurate and context-aware question answering.

• Host: GitHub
• URL: https://github.com/ishwarya254/rag_openai
• Owner: Ishwarya254
• Created: 2024-12-24T09:37:25.000Z (25 days ago)
• Default Branch: main
• Last Pushed: 2024-12-24T09:41:03.000Z (25 days ago)
• Last Synced: 2024-12-24T11:08:49.713Z (25 days ago)
• Topics: openai, pinecone, rag, vectordb
• Language: Python
• Homepage:
• Size: 4.88 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# RAG_OpenAI

RAG_OpenAI is an advanced Retrieval-Augmented Generation (RAG) system using "gpt-4o-mini" model. This project integrates state-of-the-art natural language processing (NLP) techniques to enable accurate and context-aware question answering.

### Technical Stack:

Back-End: Python with LangChain for orchestration.

Database: Pinecone for vector search and index management.

LLM: Open AI  ---> Model_name = 'gpt-4o-mini'

Embeddings: HuggingFace's embeddings for semantic search. ---> Model_name="all-MiniLM-L6-v2"