AI knowledge Page 7

Introduction Thomas joined Vespa in April 2024 as a Senior Software Engineer. In one of his last previous assignments as an AI consultant, he actually built a RAG application based on Vespa's massive PDF collections. PDFs are ubiquitous in the corporate world, and searching and retrieving from them...

Introduction Self-Query RAG (SQRAG) is an advanced Retrieval Augmented Generation (RAG) approach that enhances the traditional RAG process by introducing metadata extraction in the ingestion phase and intelligent query parsing in the retrieval phase. https://github.com/adithya-s-k/AI-Engi...

What is Windsurf? Windsurf is an AI-powered coding assistant that offers a range of features to streamline the coding process for developers. Similar to GitHub Copilot, it utilizes machine learning models to understand code context and provide intelligent code completion. However, Windsurf features...

Introduction RAG-Fusion is an advanced information retrieval and text generation methodology built on Retrieval Augmented Generation (RAG). This project implements RAG-Fusion to provide more accurate, contextually relevant and comprehensive responses to user queries. https://github.com/adithya-s-k...

Introduction RAPTOR (Recursive Abstract Processing for Tree-Structured Retrieval Enhanced Generation) is an advanced Retrieval Enhanced Generation (RAG) method. It enhances the traditional RAG process by introducing hierarchical document structuring and summarization techniques. https://github.com/adithya-s-k/AI-Engineering.acade...

ColBERT (Contextualized Post-Cultural Interaction based on BERT) is different from the traditional dense embedding model. Here is a brief description of how ColBERT works: Token-level embedding: Unlike directly creating a single vector for an entire document or query, ColBERT creates embedding vectors for each Token. After...

  Introduction GraphRAG (Graph Structure Based Retrieval Enhanced Generation) is an advanced retrieval and generation method. It combines the advantages of graph data structures with the capabilities of Large Language Models (LLMs) to overcome some of the limitations of traditional RAG systems. https://github.com/adithya-s-k/AI-Engi...

  INTRODUCTION Intelligent body based approach to enhance retrieval augmented generation. Multi-Document Agentic RAG (Retrieval Augmented Generation) is an advanced information retrieval and generation method that combines multi-document processing, intelligent body systems, and large...

We have released a large number of card map cues based on the Claude app. Some of you may wonder why there is no output format constraint for the cues, but the output format is always SVG and stable. First of all, the card map prompts use the LISP language as "pseudo-code", the reason for using the LISP language is that it is possible to...

The future of conversion rate optimization is here - and it's being driven by AI. From personalized video to scalable email outreach, learn how to maximize conversions with AI CRO. If Kieran and I were to invest our marketing budgets in the next 6-12 months, we'd choose AI conversion...

Abstract Large Language Models (LLMs) have sparked widespread interest around the world, enabling many previously elusive AI applications.LLMs are controlled by highly expressive textual prompts and return textual answers. However, this unstructured text of input and output makes LLM-based applications vulnerable...