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Retrieval Augmented Generation Based on SQLite

More Like This Search: From Keyword Matching to Embeddings and Vector Search

This article explores the evolution of "More Like This" (MLT) search functionality, which allows users to find documents similar to a select

Scaling Bloom Filter-Based Full-Text Search to Large Document Collections

The article discusses scaling a space-efficient full-text search technique using bloom filters from small document collections to large web-

Search-Augmented Agents Cut Token Usage by 36% and Outperform Raw File Processing

This article explores the inefficiency of giving AI agents raw files (like research papers) to process, comparing it to a raccoon rummaging

Empirical Study Finds Grep Outperforms Vector Retrieval in LLM Agentic Search Systems

This paper presents an empirical study comparing grep-based retrieval versus vector retrieval in LLM agentic search systems. Using a 116-que

Empirical Study Finds Grep Outperforms Vector Retrieval in LLM Agentic Search Systems

This paper presents an empirical study comparing grep-based retrieval versus vector retrieval in LLM agentic search systems. Using a 116-que

Direct Corpus Interaction: A New Retrieval Paradigm for Agentic Search Without Embedding Models

This research paper introduces Direct Corpus Interaction (DCI), a novel approach to retrieval for agentic search that bypasses traditional e