Approximate nearest neighbor (ANN) search is a family of algorithms and systems for quickly answering a deceptively simple question: Given […]
Approximate Nearest Neighbors (ANN): Fast Similarity Search at Scale Read More »
Ask an AI assistant how to calculate a business metric, and the answer may depend on a table schema, a
Open Knowledge Format (OKF): A Portable Knowledge Layer for People and AI Agents Read More »
Imagine asking a librarian for one page that proves a claim. The librarian first runs through the whole building and
Reranking in RAG: Finding the Evidence That Actually Answers the Question Read More »
Chunking is the process of splitting source documents into smaller pieces before they are embedded and stored in a vector
Chunking Strategies for RAG: How to Split Documents So Retrieval Actually Works Read More »
Ask a friend a hard question, like “How did the failure of Silicon Valley Bank compare to the 2008 financial
Agentic RAG: Teaching an LLM to Search Like a Researcher Read More »
Search breaks down when wording changes but meaning stays the same. A user types “I forgot my credentials,” while the
Text Embeddings: Turning Language into Meaningful Vectors Read More »
Document ingestion is the first mile of a Retrieval-Augmented Generation (RAG) system. Before retrieval, chunking, or embedding can work, raw
Document Ingestion: How Data Enters a RAG System Read More »
Retrieval-augmented generation (RAG) promises answers grounded in an external knowledge base. In practice, an answer can be wrong because the
Evaluating RAG Systems: A Complete Guide to Metrics and Best Practices Read More »
Imagine you are fixing a restaurant order pipeline. A customer says, “My order is wrong.” That sentence alone does not
How to Debug a RAG Workflow Practically Read More »
Think of four analysts preparing for an executive meeting. One analyst brings nothing and relies on memory. Another crams all
When to Use RAG, and When Prompting or Fine-Tuning is Better Read More »
Imagine you have just hired a brilliant consultant. Highly experienced, available around the clock, knowledgeable across dozens of fields. You
Anthropic’s 4D Framework of AI Fluency Made Easy Read More »
Consider a spam filter trained in 2010. By 2020, users receive far more promotional newsletters than before. The types of
Data Drift vs Concept Drift Read More »
