john0isaac / rag-semantic-kernel-mongodb-vcore

A sample for implementing retrieval augmented generation using Azure Open AI to generate embeddings, Azure Cosmos DB for MongoDB vCore to perform vector search, and semantic kernel.

Date Created 2024-02-12 (9 months ago)
Commits 142 (last one 4 months ago)
Stargazers 33 (0 this week)
Watchers 2 (0 this week)
Forks 54
License mit
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RepositoryStats indexes 584,353 repositories, of these john0isaac/rag-semantic-kernel-mongodb-vcore is ranked #550,823 (6th percentile) for total stargazers, and #478,709 for total watchers. Github reports the primary language for this repository as Bicep, for repositories using this language it is ranked #120/139.

john0isaac/rag-semantic-kernel-mongodb-vcore is also tagged with popular topics, for these it's ranked: python (#21,154/22011),  openai (#1,929/2175),  mongodb (#1,670/1758),  azure (#1,035/1072),  rag (#437/486),  vector-search (#117/123)

Other Information

john0isaac/rag-semantic-kernel-mongodb-vcore has 1 open pull request on Github, 16 pull requests have been merged over the lifetime of the repository.

Homepage URL: https://techcommunity.microsoft.com/t5/educator-developer-blog/build-rag-chat-application-using-azure-openai-and-cosmos-db-for/ba-p/4055852

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updated: 2024-11-21 @ 02:01pm, id: 756304363 / R_kgDOLRRJ6w