# Evaluating Lexical, Dense, and Hybrid Retrieval Pipelines for RAG

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluating-lexical-dense-and-hybrid-retrieval-pipelines-for-rag/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Abirami,M. J. Joshma,A. Jayavarthini,A. Joshi,Mohan Kumar Gajendran |
| Citations | 1 |
| DOI | 10.1109/punecon67554.2025.11379254 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7129688376 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Mohan Kumar Gajendran](https://scholariq.org/researchers/mohan-kumar-gajendran/)

## Paper primary topic

- [Information Retrieval and Search Behavior](https://scholariq.org/topics/information-retrieval-and-search-behavior/)

## Paper topics

- [Information Retrieval and Search Behavior](https://scholariq.org/topics/information-retrieval-and-search-behavior/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.