diff --git a/README.md b/README.md index 88e3c18..125ba35 100644 --- a/README.md +++ b/README.md @@ -4,19 +4,6 @@ -### β οΈ Bug Fix Notice - -A bug introduced on **April 18** has now been fixed. - -If you pulled the repo between **April 18β23**, please update to the latest version: - -```bash -git pull origin main -``` - -Thanks for your understanding π - - # π PageIndex Are you frustrated with vector database retrieval accuracy for long professional documents? Traditional vector-based RAG relies on semantic *similarity* rather than true *relevance*. But **similarity β relevance** β what we truly need in retrieval is **relevance**, and that requires **reasoning**. When working with professional documents that demand domain expertise and multi-step reasoning, similarity search often falls short. @@ -82,6 +69,21 @@ Here is an example output. See more [example documents](https://github.com/Vecti ... ``` +--- + +### β οΈ Bug Fix Notice + +A bug introduced on **April 18** has now been fixed. + +If you pulled the repo between **April 18β23**, please update to the latest version: + +```bash +git pull origin main +``` + +Thanks for your understanding π + + --- # π Package Usage @@ -133,11 +135,16 @@ Leave your email in [this form](https://ii2abc2jejf.typeform.com/to/meB40zV0) to # π Case Study: Mafin 2.5 -[Mafin 2.5](https://vectify.ai/blog/Mafin2.5) is a state-of-the-art reasoning-based RAG model designed specifically for financial document analysis. Built on top of **PageIndex**, it achieved an impressive **98.7% accuracy** on the [FinanceBench](https://github.com/VectifyAI/Mafin2.5-FinanceBench) benchmark β significantly outperforming traditional vector-based RAG systems. +[Mafin 2.5](https://vectify.ai/) is a state-of-the-art reasoning-based RAG model designed specifically for financial document analysis. Built on top of **PageIndex**, it achieved a market-leading **98.7% accuracy** on the [FinanceBench](https://github.com/VectifyAI/Mafin2.5-FinanceBench) benchmark β significantly outperforming traditional vector-based RAG systems. PageIndexβs hierarchical indexing enabled precise navigation and extraction of relevant content from complex financial reports, such as SEC filings and earnings disclosures. -π See full [benchmark results](https://github.com/VectifyAI/Mafin2.5-FinanceBench) for detailed comparisons and performance metrics. +π See our [blog post](https://vectify.ai/blog/Mafin2.5) and full [benchmark results](https://github.com/VectifyAI/Mafin2.5-FinanceBench) for detailed comparisons and performance metrics. + +