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This repository explores Generative AI (GenAI) techniques for text processing, including chunking, embeddings, retrieval-augmented generation (RAG), semantic search, and text classification. It provides, optimizations, and integrations with LLMs, vector databases, and NLP models to enhance AI-driven text applications.

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KevinGarrison/generative-ai-techniques

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Generativ-AI-techniques

This repository explores Generative AI (GenAI) techniques for text processing, including chunking, embeddings, retrieval-augmented generation (RAG), semantic search, and text classification. It provides, optimizations, and integrations with LLMs, vector databases, and NLP models to enhance AI-driven text applications.

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This repository explores Generative AI (GenAI) techniques for text processing, including chunking, embeddings, retrieval-augmented generation (RAG), semantic search, and text classification. It provides, optimizations, and integrations with LLMs, vector databases, and NLP models to enhance AI-driven text applications.

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