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From the various options above our recommendation is to build a prototype based on AWS Bedrock, creating a knowledge base with at least public content (one idea might be to initially search only through projects, and in the context of a project/folder further customize the search/chat experience to the files/wiki/discussions contained in the project) and release it under a feature flag for the internal users to try out with a feedback collection mechanism (e.g. question/answer plus satisfaction score).
The choice is driven by the fact that:
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Pricing is a bit of a complex topic as in all the above solutions it follows a pay-for-what-you-use model that depends on the user input, number of tokens, type of model used and amount of data. Given my recommendation I can estimate the cost of bedrock to be around $1k-$2k/month depending on usage (the default vector database is AWS OpenSearch, which should cost between $400 and $800/month).
Note that Tomas Yu already setup a similar experiment with public wikis: https://sagebionetworks.slack.com/archives/C04JWS00LJ1/p1716958351028619