https://github.com/armanjscript/rag-driven-generative-ai
Generative AI has made remarkable strides in creating human-like text, images, and even code. However, traditional models like GPT rely solely on pre-trained knowledge, which can lead to outdated, inaccurate, or hallucinated responses. Retrieval-Augmented Generation (RAG) addresses these limitations. We offer various types of RAG here
https://github.com/armanjscript/rag-driven-generative-ai
cosine-similarity langchain langchain-ollama qwen2-5 spacy spacy-nlp tfidf tfidf-vectorizer wordnet
Last synced: about 2 months ago
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Generative AI has made remarkable strides in creating human-like text, images, and even code. However, traditional models like GPT rely solely on pre-trained knowledge, which can lead to outdated, inaccurate, or hallucinated responses. Retrieval-Augmented Generation (RAG) addresses these limitations. We offer various types of RAG here
- Host: GitHub
- URL: https://github.com/armanjscript/rag-driven-generative-ai
- Owner: armanjscript
- Created: 2025-08-15T11:24:53.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-08-15T11:53:06.000Z (about 2 months ago)
- Last Synced: 2025-08-15T13:29:17.311Z (about 2 months ago)
- Topics: cosine-similarity, langchain, langchain-ollama, qwen2-5, spacy, spacy-nlp, tfidf, tfidf-vectorizer, wordnet
- Language: Python
- Homepage:
- Size: 13.7 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files: