aws-samples / aws-agentic-document-assistantLinks
An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and analytical questions.
☆91Updated last year
Alternatives and similar repositories for aws-agentic-document-assistant
Users that are interested in aws-agentic-document-assistant are comparing it to the libraries listed below
Sorting:
- 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
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆149Updated 8 months ago
- Creating Amazon Bedrock agents with Streamlit Framework☆129Updated 8 months ago
- ☆54Updated last month
- ☆255Updated last year
- Use LLMs for building real-world apps☆112Updated 9 months ago
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆106Updated last week
- Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless…☆72Updated 2 weeks ago
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆126Updated 8 months ago
- Learn how to Quickly build Generative AI applications with Amazon Bedrock☆87Updated last year
- A simple and clear example for implement a chatbot with Bedrock (Claude, Nova and DeepSeek) + LangChain + Streamlit.☆90Updated 7 months ago
- ☆42Updated 6 months ago
- Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playgrou…☆172Updated this week
- AWS Generative AI Conversational RAG Reference (Galileo)☆80Updated last week
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆166Updated 3 months ago
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆163Updated 7 months ago
- ☆82Updated last year
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆279Updated 2 weeks ago
- ☆53Updated last year
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆205Updated last week
- Build Generative AI applications with Langchain on AWS☆182Updated 2 years ago
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆119Updated last week
- Learn how to quickly build Agents with Amazon Bedrock☆99Updated last year
- Building an AWS Solution Architect Agent with Generative AI☆42Updated 2 years ago
- RAG with langchain using Amazon Bedrock and Amazon OpenSearch☆221Updated 9 months ago
- Workshop Studio☆156Updated last year
- ☆45Updated 8 months ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆94Updated 11 months ago
- ☆20Updated last year
- A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative A…☆49Updated last week