aws-samples/rag-using-langchain-amazon-bedrock-and-opensearch
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
Lightweight, In-memory, Semantic Search, Text Vector Database to embed in any .NET Application
$ git clone https://github.com/Build5Nines/SharpVector.gitRAG with langchain using Amazon Bedrock and Amazon OpenSearch
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SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
The open source platform for AI-native application development.
NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.
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A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI experiences using RAG with Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model.
AgentSearch is a framework for powering search agents and enabling customizable local search.
Data from GitHub · snapshot Nov 13, 2026