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 (about a year ago)

Commits 156 (last one 13 days ago)

Stargazers 33 (0 this week)

Watchers 2 (0 this week)

Forks 62

License mit

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RepositoryStats indexes 631,885 repositories, of these john0isaac/rag-semantic-kernel-mongodb-vcore is ranked #584,666 (7th percentile) for total stargazers, and #481,103 for total watchers. Github reports the primary language for this repository as Bicep, for repositories using this language it is ranked #133/158.

john0isaac/rag-semantic-kernel-mongodb-vcore is also tagged with popular topics, for these it's ranked: python (#22,218/23400), openai (#2,151/2480), mongodb (#1,734/1886), azure (#1,088/1152), rag (#612/685), vector-search (#129/137)

Other Information

john0isaac/rag-semantic-kernel-mongodb-vcore has 2 open pull requests on Github, 22 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

All Topics

rag azure quart vcore openai python mongodb cosmosdb azd-templates vector-search semantic-kernel

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

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updated: 2025-03-18 @ 12:01am, id: 756304363 / R_kgDOLRRJ6w