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webwright
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semantifly discussion
semantifly reviews and mentions
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DeepRAG: Thinking to Retrieval Step by Step for Large Language Models
My company (actually our two amazing interns) was working on this over the summer, we abandoned it but it’s 85% of the way to doing what you want it to do: https://github.com/accretional/semantifly
We stopped working on it mostly because we had higher priorities and because I became pretty disillusioned with top-K rag. We had to build out a better workflow system anyway, and with that we could instead just have models write and run specific queries (eg list all .ts files containing the word “DatabaseClient”), and otherwise have their context set by users explicitly.
The problem with RAG is that simplistic implementations distract and slow down models. You probably need an implementation that makes multiple passes to prune the context down to what you need to get good results, but that’s complicated enough that you might want to build something else that gives you more bang for your buck.
Stats
accretional/semantifly is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of semantifly is Go.