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#PageRank

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🔍 Revolutionary Knowledge Retrieval Framework Takes GraphRAG to the Next Level 🧠

🚀 #FastGraphRAG introduces streamlined, agent-driven retrieval with proven results:
• 6x cost reduction compared to standard #GraphRAG ($0.08 vs $0.48 on test dataset)
• Built for scale with minimal resource requirements
• Full async support and comprehensive type system

🛠️ Key Technical Features:
• Real-time graph updates for dynamic data handling
#PageRank-based exploration for enhanced accuracy
• Python 3.10.1+ compatibility
• MIT licensed #opensource framework

💡 Core Capabilities:
• Human-navigable knowledge visualization
• Automatic graph generation and refinement
• Seamless integration with existing retrieval pipelines
• Complete debugging and interpretation tools

🔧 Implementation Options:
• Available via PyPI installation
• Source code access on #GitHub
• Managed service option with 100 free monthly requests

github.com/circlemind-ai/fast-

RAG that intelligently adapts to your use case, data, and queries - circlemind-ai/fast-graphrag
GitHubGitHub - circlemind-ai/fast-graphrag: RAG that intelligently adapts to your use case, data, and queriesRAG that intelligently adapts to your use case, data, and queries - circlemind-ai/fast-graphrag

#Google #Search #SEO #Algorithms #PageRank: "Google’s secretive search algorithm has birthed an entire industry of marketers who closely follow Google’s public guidance and execute it for millions of companies around the world. The pervasive, often annoying tactics have led to a general narrative that Google Search results are getting worse, crowded with junk that website operators feel required to produce to have their sites seen. In response to The Verge’s past reporting on the SEO-driven tactics, Google representatives often fall back to a familiar defense: that’s not what the Google guidelines say.

But some details in the leaked documents call into question the accuracy of Google’s public statements regarding how Search works.

One example cited by Fishkin and King is whether Google Chrome data is used in ranking at all. Google representatives have repeatedly indicated that it doesn’t use Chrome data to rank pages, but Chrome is specifically mentioned in sections about how websites appear in Search. In the screenshot below, which I captured as an example, the links appearing below the main vogue.com URL may be created in part using Chrome data, according to the documents."

theverge.com/2024/5/28/2416617

The Verge · Google won’t comment on a potentially massive leak of its search algorithm documentationBy Mia Sato

The world’s most popular search engine started as a research project by #LarryPage and #SergeyBrin when they were both doctoral students at #StanfordUniversity in the late 1990s.

Working from their dorm rooms, the two developed a new algorithm for #SearchEngines that ranked #websites based on the number of other websites that linked to them, which they called #PageRank.

#Google turns 25: A look at the world’s top performing searches | Technology News | Al Jazeera
aljazeera.com/news/2023/9/4/go

Google search is bad not because of SEO, but because the PageRank algorithm performs worse the more content is searched.

Basically, it was once easier to find niche information using combinations of search terms. Now, the sheer volume of pages makes it more likely your niche search will return a mainstream page.

I wonder if anyone has bothered to look into the mathematics of #recommendersystems , because it is really embarrassing that papers with with 0000s of citations end up mapping to some very banal conventional #statistical models.
OTH, the latter have missed tremendous opportunities to entrench themselves (and create job opportunities for statisticians) by forgetting special cases that powered applications before the era of cheap computing that started in the 1980s.
It is #pagerank all over again