ivanvanderbyl/agentic
A minimalist Go implementation of Microsoft's GraphRAG
This project helps researchers and executives distill key insights from lengthy texts. It processes large documents or collections of text to identify and extract relationships between concepts, presenting them in a structured way. This is intended for professionals who need to quickly grasp the core connections and summaries within extensive textual data.
No commits in the last 6 months.
Use this if you need to understand the underlying relationships and high-level summaries from complex documents, especially when preparing executive briefs or research overviews.
Not ideal if you require highly detailed, verbatim-accurate information directly from the source text, as the summarization process can reduce specificity.
Stars
21
Forks
1
Language
Go
License
MIT
Category
Last pushed
Aug 25, 2024
Commits (30d)
0
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