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 (10 months ago)

Commits 142 (last one 5 months ago)

Stargazers 33 (0 this week)

Watchers 2 (0 this week)

Forks 57

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RepositoryStats indexes 598,732 repositories, of these john0isaac/rag-semantic-kernel-mongodb-vcore is ranked #558,304 (7th percentile) for total stargazers, and #487,120 for total watchers. Github reports the primary language for this repository as Bicep, for repositories using this language it is ranked #125/147.

john0isaac/rag-semantic-kernel-mongodb-vcore is also tagged with popular topics, for these it's ranked: python (#21,389/22396), openai (#1,980/2264), mongodb (#1,684/1788), azure (#1,044/1097), rag (#478/540), vector-search (#121/128)

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.

Github issues are enabled, there is 1 open issue and 9 closed issues.

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

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updated: 2024-12-28 @ 07:39am, id: 756304363 / R_kgDOLRRJ6w