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GitHub / Rishikesh-Jadhav / LLM-and-RAG-based-Chat-Application-with-AlloyDB-and-Vertex-AI

This repository showcases an implementation of a chat application leveraging the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). By integrating AlloyDB and Vertex AI, the application delivers precise, contextually relevant responses to flight and airport inquiries.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rishikesh-Jadhav%2FLLM-and-RAG-based-Chat-Application-with-AlloyDB-and-Vertex-AI

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Size: 187 KB
Dependencies parsed at: Pending

Created at: 7 months ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: 3 months ago

Topics: alloydb, chatbot, generative-ai, google-cloud-platform, large-language-models, model-deployment, natural-language-processing, retrieval-augmented-generation, semantic-search, user-interface, vector-embedding-database, vertex-ai

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