Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models
This repository provides code samples for three Generative AI demos, licensed under MIT-0 license.
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Amazon Kendra with foundational LLM: Utilizes the deep search capabilities of Amazon Kendra combined with the expansive knowledge of Large Language Models. This integration provides precise and context-aware answers to complex queries by drawing from a diverse range of sources.
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Embeddings model with foundational LLM: Merges the power of embeddings—a technique to capture semantic meanings of words and phrases—with the vast knowledge base of LLMs. This synergy enables more accurate topic modeling, content recommendation, and semantic search capabilities.
- Foundation Models Pharma Ad Generator: A specialized application tailored for the pharmaceutical industry. Harnessing the generative capabilities of foundational models, this tool creates convincing and compliant pharmaceutical advertisements, ensuring content adheres to industry standards and regulations
These demos can be seamlessly deployed in your AWS account, offering foundational insights and guidance on utilizing AWS services to create a state-of-the-art Large Language Model (LLM) Generative AI Question and Answer Bot and content generation.
You can deploy these demo's independent of each other. Please refer to the Readme files in each of the folders for deployment instructions.
Refer to the blog post for details on how these solutions work.
- Jin Tan Ruan - AWSI PACE Prototyping Developer
- Aravind Kodandaramaiah - AWSI PACE Senior Prototyping Developer
This library is licensed under the MIT-0 License. See the LICENSE file.
- Changelog of the project.
- License of the project.
- Code of Conduct of the project.
- CONTRIBUTING for more information.