1 min read
Query Transformation Techniques: Improving RAG Recall
Query transformation is a high-leverage improvement for RAG systems.
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22 articles
1 min read
Reranking Strategies: Improving RAG Precision
Cross-encoder reranking typically improves RAG precision by 10-20%.
1 min read
Hybrid Search Improvements: Latest Techniques for Better Retrieval
Hybrid search continues to outperform pure vector or keyword approaches. Invest in tuning your fusion strategy for your specific domain.
1 min read
Vector Database Evolution: What's Changing in 2025
Vector databases in 2025 are more capable, efficient, and integrated than ever. Choose based on your specific requirements for scale, latency, and…
1 min read
Azure AI Search Updates: What's New in Summer 2024
Expanded Vector Dimensions Semantic Ranking Improvements Customer-Managed Keys for Vectors
1 min read
Databricks Vector Search Deep Dive: Production Patterns
Taking Vector Search to production requires careful consideration of performance, reliability, and maintenance. This guide covers production-ready patterns.
1 min read
Vector Search in Databricks: Semantic Search at Scale
Databricks Vector Search enables semantic similarity search over your lakehouse data. Build RAG applications, recommendation systems, and intelligent search…
1 min read
Context Recall in RAG: Are You Finding All Relevant Documents?
While context precision measures noise in retrieved results, context recall measures completeness. Are you retrieving all the documents needed to fully…
1 min read
Context Precision in RAG: Evaluating Retrieval Quality
Context precision measures whether the retrieved documents are actually relevant to answering the question. High precision means less noise for the…
1 min read
Retrieval Metrics for RAG: A Deep Dive
The retrieval component of RAG systems directly impacts generation quality. This guide provides a comprehensive overview of retrieval metrics and how to…
1 min read
RAG Evaluation: Measuring Retrieval-Augmented Generation Quality
Retrieval-Augmented Generation (RAG) systems combine retrieval and generation components, each requiring specific evaluation strategies. This guide covers…
1 min read
Cohere on Azure: Enterprise Search and RAG Solutions
Cohere's models are now available on Azure AI, offering specialized capabilities for enterprise search and retrieval-augmented generation (RAG). This guide…
1 min read
Bing Chat: GPT-4 Powered Search
Bing Chat represents the future of search: not just finding links, but synthesizing answers from the web with AI understanding.
1 min read
Re-ranking Search Results for Better RAG Performance
Cross encoders directly score query document pairs: Use an LLM to judge relevance: Using Cohere's specialized rerank API: 1. Retrieve more, re rank fewer :…
1 min read
Hybrid Search: Combining Vector and Keyword Search
A robust way to combine rankings: Adjust weights based on query characteristics: 1. Start balanced : 50/50 is often a good default 2. Tune on your data :…
8 min read
Semantic Search Prototype: Azure OpenAI Embeddings and NumPy
Build a small semantic search prototype on Azure OpenAI embeddings and NumPy, measure it with hit rate@k, add BM25, and know when to move to a real index.
1 min read
Azure Cognitive Search Updates and New Features
Azure Cognitive Search provides enterprise-grade search capabilities with AI enrichment options.
2 min read
SQL Database Indexing with Azure Cognitive Search
Azure SQL to Cognitive Search is a combination I've set up half a dozen times, and the reason it keeps appearing is that most enterprise organisations…
1 min read
Azure Cognitive Search Custom Skills - Building Intelligent Search Pipelines
Custom skills are Azure Functions that implement a specific contract.
7 min read
Relevance Tuning in Azure Cognitive Search: Analyzers to Scoring
How to tune Azure Cognitive Search relevance with BM25 settings, custom analyzers, synonym maps, scoring profiles and query syntax, and when to leave defaults.
1 min read
Azure Cognitive Search: AI-Powered Skillsets
Indexing PDFs is easy. Indexing PDFs in a way that makes them findable is a different sport. Cognitive Search skillsets are the part I usually sell to…
8 min read
Designing an Azure Cognitive Search Index with the v11 .NET SDK
How to size an Azure Cognitive Search service, design index fields you won't regret, and query safely with the newly GA Azure.Search.Documents v11 SDK.