build-on-aws / elevating-customer-support-with-rag-langchain-agent-bedrock-dynamodb-and-kendraLinks
☆15Updated last year
Alternatives and similar repositories for elevating-customer-support-with-rag-langchain-agent-bedrock-dynamodb-and-kendra
Users that are interested in elevating-customer-support-with-rag-langchain-agent-bedrock-dynamodb-and-kendra are comparing it to the libraries listed below
Sorting:
- Learn to build custom prompts and tools for LangChain agents☆38Updated last year
- ☆23Updated 6 months ago
- ☆25Updated 3 weeks ago
- Building an AWS Solution Architect Agent with Generative AI☆41Updated 2 years ago
- ☆14Updated last week
- ☆40Updated last month
- ☆38Updated last month
- Deploy a RAG use case on AWS by using Terraform and Amazon Bedrock☆42Updated last week
- ☆19Updated last year
- aws-solutions-library-samples / guidance-for-media-extraction-and-dynamic-content-policy-framework-on-awsThis Guidance demonstrates how to accelerate your content analysis workflows by automating video metadata extraction, intelligence gather…☆10Updated 4 months ago
- ☆54Updated last year
- Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integration☆26Updated 3 months ago
- This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 m…☆30Updated last year
- ☆34Updated last month
- This repository contains a collection of Generative AI samples and examples using AWS services and AWS partner products.☆52Updated this week
- ☆23Updated 8 months ago
- Chainlit application built using AWS CDK, secured with Amazon Cognito, that allows you to interact with Anthropic's Claude language model…☆28Updated last month
- This sample shows how to quickly get started with LlamaIndex.ai on Azure🚀☆57Updated 3 months ago
- aws-solutions-library-samples / guidance-for-conversational-chatbots-using-retrieval-augmented-generation-on-awsThis Guidance demonstrates how to combine Retrieval Augmented Generation (RAG) with AWS services to build generative AI applications.☆40Updated 8 months ago
- How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedr…☆17Updated 6 months ago
- An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and anal…☆87Updated last year
- ☆13Updated last year
- Amazon Q Business enables querying structured data using natural language, leveraging schemas and metadata. This example demonstrates an …☆15Updated 7 months ago
- ☆16Updated last year
- ☆51Updated 2 months ago
- Question Answering application with Large Language Models (LLMs) and Amazon Postgresql using pgvector☆16Updated 6 months ago
- Advanced RAG patterns on Amazon SageMaker☆14Updated last year
- Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless…☆63Updated 3 months ago
- ☆16Updated last year
- ☆45Updated 4 months ago