aws-samples / websearch_agentLinks
☆20Updated last year
Alternatives and similar repositories for websearch_agent
Users that are interested in websearch_agent are comparing it to the libraries listed below
Sorting:
- ☆22Updated this week
- ☆25Updated last month
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆87Updated last year
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆95Updated last year
- ☆50Updated 9 months ago
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆128Updated 10 months ago
- ☆54Updated last year
- ☆23Updated last month
- Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service☆28Updated last year
- ☆70Updated last month
- Template to deploy a Streamlit app on AWS with Cognito authentication and Bedrock integration using CDK.☆76Updated last year
- ☆17Updated last year
- Creating Amazon Bedrock agents with Streamlit Framework☆131Updated 10 months ago
- ☆36Updated 3 months ago
- ☆14Updated last year
- An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and anal…☆92Updated last year
- ☆49Updated last year
- FloTorch is an open-source tool for optimizing Generative AI workloads on AWS. It automates RAG proof-of-concept development with feature…☆265Updated 6 months ago
- This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 m…☆31Updated last year
- This Guidance provides best practices for building and deploying an intelligent document processing (IDP) architecture that scales with w…☆50Updated last year
- Sample solution to automate tedious regulatory compliance processes using multi-agent systems☆22Updated 8 months ago
- ☆47Updated 8 months ago
- A Python framework for multi-modal document understanding with Amazon Bedrock☆100Updated this week
- ☆42Updated 8 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.☆42Updated last year
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆124Updated 2 months ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆150Updated 10 months ago
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆107Updated this week
- ☆24Updated last year
- ☆22Updated 2 years ago