arXiv (All)
open access
Towards Semi-Automatically Comparing Keyword-Based and Semantic Search Accuracy
The increasing importance of Information Retrieval (IR) in managing large datasets has highlighted significant limitations in traditional keyword-based search systems. Context-aware chat-based search methods, such as Retrieval Augmented Generation (RAG), have recently emerged, but their evaluation c
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Adaptive prompt engineering: Optimizing large language model outputs for context- aware natural language processing#75494
- Query Brand Entity Linking in E-Commerce Search#987406
- Cancellation, Negation, and Rejection#768567
- Generative AI-Era Software Paradigm Reconstruction: A GAISF (Generative AI-Based Intelligent Software Fusion Framework) Theory and Model Study#689953
- Era by Eon: Benchmarking Enterprise Agents on Hidden Knowledge#1078126
Record · ID 1142060
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive