Multi-Modal RAG: Grounding AI Answers with Images, Tables, and PDFs for Trustworthy AI Multi-Modal Retrieval-Augmented Generation (RAG) is a transformative evolution in artificial intelligence, extending beyond text-only retrieval to incorporate…
AI for Search: From Keywords to Semantic and Conversational Understanding The landscape of search has been fundamentally reshaped by artificial intelligence, marking a profound shift from simple keyword matching to…
LLM Observability: A Comprehensive Guide to Tracing, Debugging, and Monitoring AI Pipelines As organizations race to deploy large language models (LLMs) into production, the need for robust observability has become…
Hybrid Search for RAG: Combining Vector, Keyword, and Graph Retrieval for Superior AI Performance Hybrid search represents a transformative approach to Retrieval-Augmented Generation (RAG), merging vector search for semantic understanding,…
LLM Routing Strategies: Optimizing Cost, Quality, and Latency Per Request LLM routing is the practice of dynamically selecting the most suitable large language model for each incoming request to optimize…
Prompt Injection 101: Threat Models and Practical Defenses for RAG and AI Agents Prompt injection is a critical vulnerability in Large Language Model (LLM) applications where attackers manipulate AI systems…
Prompt Caching and Reuse Patterns for LLM Apps: Proven Techniques to Cut Latency and Cost In the rapidly scaling world of Large Language Model (LLM) applications, two critical challenges consistently…
Cost Forecasting for LLM Products: Token Budgets, Rate Limits, and Usage Analytics Cost forecasting for LLM products is the strategic discipline of predicting, managing, and optimizing expenses associated with token-based…
Synthetic Data for AI: When to Use It and When Not To Synthetic data—artificially generated information that mimics the statistical properties of real-world data—has emerged as a transformative solution in…
Prompt Injection Attacks: Understanding Vulnerabilities and Defense Mechanisms for AI Systems As large language models (LLMs) like GPT-4 and Claude become embedded in enterprise workflows—from customer support and content generation…
