aws-samples / pace-genai-demos

This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation.

Date Created 2023-10-24 (about a year ago)

Commits 56 (last one 6 months ago)

Stargazers 38 (0 this week)

Watchers 1 (0 this week)

Forks 16

License mit-0

Ranking

RepositoryStats indexes 584,353 repositories, of these aws-samples/pace-genai-demos is ranked #522,637 (11th percentile) for total stargazers, and #535,930 for total watchers. Github reports the primary language for this repository as TypeScript, for repositories using this language it is ranked #38,777/44,745.

aws-samples/pace-genai-demos is also tagged with popular topics, for these it's ranked: llm (#2,267/2726), aws (#2,291/2471), chatbot (#1,027/1185), large-language-models (#891/1045), langchain (#505/633), generative-ai (#434/546), semantic-search (#113/128)

Other Information

aws-samples/pace-genai-demos has 14 open pull requests on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 2 closed issues.

There have been 1 release, the latest one was published on 2023-11-07 (about a year ago) with the name v1.0.0.

Homepage URL: https://aws.amazon.com/blogs/machine-learning/harnessing-the-power-of-enterprise-data-with-generative-ai-insights-from-amazon-kendra-langchain-and-large-language-models/

All Topics

aws cdk llm hcls genai kendra bedrock chatbot langchain sagemaker text-image generative-ai amazon-bedrock semantic-search embeddings-model content-generation large-language-models

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56 commits on the default branch (main) since jan '22

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The primary language is TypeScript but there's also others...

updated: 2024-08-13 @ 08:14pm, id: 709451955 / R_kgDOKklgsw