Retrieval-Augmented-Generation-RAG-Using-Hugging-Face-Embeddings

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This project demonstrates how to implement a Retrieval-Augmented Generation (RAG) pipeline using Hugging Face embeddings and ChromaDB for efficient semantic search. The solution reads, processes, and embeds textual data, enabling a user to perform accurate and fast queries on the data.

ai chromadb embeddings genrative-ai huggingface huggingface-transformers llm nlp-machine-learning open-source rag

Creat：2024-09-29T22:28:21

Update：2025-02-26T17:05:38

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