aws-samples / layout-aware-document-processing-and-retrieval-augmented-generation
☆72Updated 4 months ago
Alternatives and similar repositories for layout-aware-document-processing-and-retrieval-augmented-generation:
Users that are interested in layout-aware-document-processing-and-retrieval-augmented-generation are comparing it to the libraries listed below
- Workshop Studio☆145Updated last year
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆99Updated 2 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.☆37Updated 3 months ago
- Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)☆50Updated 9 months ago
- A generative AI-powered framework for testing virtual agents.☆160Updated last month
- RAG with langchain using Amazon Bedrock and Amazon OpenSearch☆203Updated 3 weeks ago
- ☆23Updated 9 months ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆59Updated 2 months ago
- Use LLMs for building real-world apps☆111Updated 2 weeks ago
- Foundation Model Evaluations Library☆227Updated 2 weeks ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆73Updated 3 weeks ago
- An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and anal…☆65Updated 7 months ago
- Fully serverless streaming RAG application☆28Updated 9 months ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆163Updated last week
- Build LangChain Applications on AWS☆123Updated this week
- ☆88Updated last year
- Build Generative AI applications with Langchain on AWS☆175Updated last year
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆61Updated 2 months ago
- ☆33Updated 2 months ago
- ☆58Updated 7 months ago
- Cloud-native, AI-powered, document processing pipelines on AWS.☆157Updated 2 months ago
- ☆70Updated last week
- ☆60Updated last month
- ☆40Updated 3 months ago
- This Guidance provides best practices for building and deploying an intelligent document processing (IDP) architecture that scales with w…☆42Updated 3 months ago
- Lightweight demo using the Anthropic Python SDK to experiment with Claude's Search and Retrieval capabilities over a variety of knowledge…☆142Updated 7 months ago
- A Python framework for multi-modal document understanding with Amazon Bedrock☆58Updated 2 weeks ago
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆220Updated this week
- aws-solutions-library-samples / guidance-for-natural-language-queries-of-relational-databases-on-awsDemonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangCh…☆61Updated 3 months ago
- ☆235Updated 6 months ago