RAG-App-Using-a-LLM

Public

In this project, we leverage Weaviate, a vector database, to power our retrieval-augmented generation (RAG) application. Weaviate enables efficient vector similarity search, which is crucial for building effective RAG systems. Additionally, we use local language model (LLM) and embedding models.

embedding-models gradio langchain open-source-llm rag vector-database

Creat：2024-05-02T23:56:17

Update：2024-08-23T21:30:59

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