A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.

my own idea to build

Query Expension for Better Query Embedding using LLMs

Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"

SPRINT Toolkit helps you evaluate diverse neural sparse models easily using a single click on any IR dataset.

BEIRA: BOLD from EEG Interpretable Regression Autoencoder. Prediction subcortical BOLD activity from EEG data

Re-Implementation of SPARTA model

Qdrant integration with BEIR, simplifying quality checks on standard datasets

A reproduction study of the Touché 2020 dataset in the BEIR benchmark

Beiruti arabic and latin fonts

Performance Evaluation of Rankers and RRF Techniques for Retrieval Pipelines: Employs Diversity, Lost-in-the-Middle, and Similarity rankers to reorder documents and maximize LLM context window performance. Implements Hybrid Retrieval with Reciprocal Rank Fusion (RRF) and rigorous BEIR evaluation (NDCG, MAP, Recall, Precision).

Beirdo's C IRC bot

Benchmarking SearchArray using BEIR

Dense Bi-Encoder Retrieval for Rapid Experimentation

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Codebase for Living Heritage Atlas | Beirut, a website that features a database of over 800 entries, an interactive map, six high resolution geolocated maps of historic Beirut, and an open source form for community members to contribute to the database.

A webapp for scanning images and extracting the text from the images into a structured json data and store and a database

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A genral RAG Search chatbot, with SoTA RAG techniques such as HyDE, Hybrid retrieval with BM25 + RRF and Cross encoder reranking. Evaluated on the BEIR scifact dataset and compared all the different pipelines i tried along the way

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GDG Beirut bootcamp workshop code!

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McClim IRC

Collection of the BEIR benchmarks uploaded and backed up in Weaviate!

This is where Material providers and Architects/Civil engeneers can meet to speed up the process of building back beirut to what it was before the explosion and even better

BEIR_datasets

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Beira Project Stuff