AI knowledge Page 5

Introduction The Query Transformations User Manual demonstrates a variety of techniques for transforming and disambiguating user queries before they are executed in a Retrieval-Augmented Generation (RAG) query engine, intelligences, or other processes. These transformations can improve the quality and relevance of responses in AI applications. https://github.com/adithya-s-k/AI-...

Since yesterday's release of Anthropic's open-source Model Context Protocol: Model Context Protocol (MCP), which according to Anthropic, Block, and Apollo has been integrated into their systems, Replit, Codeium, and Sourcegraph...

It's like being a smart kid who doesn't understand coding best practices. You need to tell the AI exactly what you want: is it a web application? What functionality is needed? What is the structure? And so on. Here's how to make AI your full-stack developer: Context is critical! You need to...

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...