aws-samples / foundational-llm-chatLinks
Chainlit application built using AWS CDK, secured with Amazon Cognito, that allows you to interact with Anthropic's Claude language models from Amazon Bedrock.
☆30Updated 2 months ago
Alternatives and similar repositories for foundational-llm-chat
Users that are interested in foundational-llm-chat are comparing it to the libraries listed below
Sorting:
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆116Updated 2 months ago
- Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integration☆28Updated 5 months ago
- Cloud-native, AI-powered, document processing pipelines on AWS.☆184Updated 5 months ago
- A Python framework for multi-modal document understanding with Amazon Bedrock☆94Updated 2 weeks ago
- Creating Amazon Bedrock agents with Streamlit Framework☆128Updated 6 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆79Updated this week
- ☆42Updated 4 months ago
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆269Updated last month
- 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…☆66Updated 10 months ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆148Updated 6 months ago
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆34Updated last year
- Learn how to quickly build Agents with Amazon Bedrock☆97Updated last year
- 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 10 months ago
- ☆23Updated 5 months ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆164Updated last month
- aws-solutions-library-samples / guidance-for-a-multi-tenant-generative-ai-gateway-with-cost-and-usage-tracking-on-awsThis Guidance demonstrates how to build an internal Software-as-a-Service (SaaS) platform that provides access to foundation models, like…☆85Updated 10 months ago
- Mistral on AWS examples for Bedrock & SageMaker☆82Updated 2 weeks ago
- ☆179Updated 3 weeks ago
- Workshop Studio☆157Updated last year
- ☆31Updated 7 months ago
- Leverage pgvector and Amazon Aurora PostgreSQL for Natural Language Processing, Chatbots and Sentiment Analysis☆68Updated last week
- ☆53Updated last week
- 🚀 Extract information from your documents at scale with Generative AI☆87Updated last week
- A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative A…☆48Updated last week
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆82Updated 9 months ago
- ☆54Updated 5 months ago
- Personal Chatbot powered by Amazon Bedrock LLMs with a data analytics feature that provides isolated servereless compute on Athena Spark …☆95Updated last week
- ☆19Updated last year
- Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Base…☆61Updated 3 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…☆91Updated last year