Search & RAG posts
GraphRAG Assisted Ideation with a YouTube Knowledge Graph
I've been building a system that helps creators generate better video ideas using a combination of Retrieval-Augmented Generation (RAG) with PostgreSQL's pg_vector and a Neo4j knowledge graph.
Agentic RAG: Routing Queries to Specialized Agents for Better Information Retrieval
Exploring the architecture of agentic Retrieval-Augmented Generation systems that route queries to specialized agents, each optimized for different types of information needs.
Hybrid Search: Combining Lexical and Semantic Retrieval for Better Search Results
An educational overview of hybrid search architecture combining BM25, dense vectors, neural reranking, and diversity optimization—exploring the concepts and trade-offs behind modern information retrieval systems.
Building Data Pipelines for Search: From Raw Content to Vector-Ready Indices
Exploring the principles and patterns for building robust data processing pipelines that transform raw content into semantically-enriched search indices with embeddings and metadata enrichment.
Building Intelligent Memory Systems for Multi-Agent AI Architectures
Exploring the design and implementation of sophisticated memory systems for agentic AI, including discrete memory records, semantic intent understanding, and graph-based relationship modeling.