Navigating Retrieval-Augmented Generation: A Deep Dive into LLM-Driven AI Systems
Retrieval-Augmented Generation (RAG) is a key component of modern AI engineering, especially when building intelligent systems that require accurate, scalable, and reliable information retrieval. But setting up a production-ready RAG system involves more than just embedding documents into a vector database. Let’s explore what it truly takes to harness RAG effectively. Understanding RAG and its […]
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Navigating the Complexity of AI: From Emmys to Enterprise Innovation
- Frank
- July 20, 2026
- ai hallucinations
- AI hype
- AI security
- chunking strategy
- Document Intelligence
- document understanding
- documentary journalism
- Enterprise AI
- Graph Databases
- IBM watson
- knowledge extraction
- LLM (large language models)
- open source models
- private data
- RAG (Retrieval-Augmented Generation)
- sovereign AI
- structured data
- The Weather Channel
- vector search
Artificial Intelligence, a field once nestled quietly in the backdrop of technological advancement, is today at the forefront, influencing a wide array of sectors. In a recent episode of “FranksWorld of AI,” hosts Candace Gillhoolley and Frank La Vigne welcomed Neil Katz, Chief Product Officer at Valantor AI. As a unique figure in the AI […]
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How to Integrate Knowledge Graphs with Python and GraphRAG
In the fast-evolving world of artificial intelligence, the combination of retrieval-augmented generation with knowledge graphs, known as GraphRAG, is redefining how we interact with complex data structures. If you’ve ever wondered how AI can become more data-conscious and contextually aware, GraphRAG offers fascinating possibilities by leveraging the connectivity and relationships inherent in knowledge graphs. Let’s […]
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How to Transform AI Search with Temporal Graph Reasoning on MongoDB
- Frank
- June 24, 2026
- .local
- 2026
- AI Readiness
- AI Search
- BM25 Search
- Database Architecture
- document databases
- Enterprise AI
- Graph RAG
- Hybrid Database
- Knowledge Graphs
- LexisNexis
- LLM Hallucinations
- mognodb
- Mongo DB
- Python bindings
- Retrieval-Augmented Generation
- Temporal Graph Reasoning
- Temporal Knowledge Graph
- Text to SQL
- vector search
In the evolving world of artificial intelligence and data management, LexisNexis Risk Solutions offers an innovative leap forward by integrating temporal knowledge graph reasoning into AI search solutions. At MongoDB.local London 2026, James Melvin, Principal Innovation Software Engineer at LexisNexis Risk Solutions, outlined their pioneering efforts in developing a system that interprets how data changes […]
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Discovering Meaning with SQL Server 2025: The Burrito Bot Demo
In an exciting episode of “MVP Unplugged,” host Justin Garrett sits down with Microsoft MVP Andrew Pruski to illuminate the transformative power of vector search in SQL Server 2025. The episode features a playful yet instructive demo of the “Burrito Bot,” a semantic search application flavored with practical insights into AI advancements. This app ingeniously […]
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Vector Search with LLMs – Computerphile
Imagine you’re trying to unlock the door to a vast library, each book filled with specific knowledge on myriad topics. However, you don’t have the time to read each book to find the answer you need. Instead, you have a key—a search method that allows you to quickly and efficiently find precise information relevant to […]
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How to Implement Vector Search in Your Application with SQL Server 2025 | Data Exposed: MVP Edition
Imagine you’re digging through boxes of old photos, trying to find a snapshot of a cherished moment. You remember bits and pieces — the colors, the light, maybe a face or two — but not quite enough to swiftly pull it from the pile. This is somewhat akin to the challenges faced by traditional search […]
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Introduction to Vector Search
High level introduction to Vector Search from Databricks. Brief demonstration of how to index a Delta table and execute similarity search using Databricks Vector Search’s new offering.
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How to Ignite Developer Innovation with Vector Search
This episode of the AI Show will uncover the exciting possibilities of vectors in Azure Cognitive Search (preview) in tandem with Azure OpenAI Service functions. Discover how these powerful tools can enhance search capabilities, making your AI solutions smarter and more intuitive. Experience the accuracy and relevance of vector + text “hybrid search,” while tapping […]
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