SeekStorm - sub-millisecond full-text search library & multi-tenancy server in Rust

Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

Quranic Lexical/Semantic Search

Cross-platform Search Engine and File Explorer for Multimedia

Intelligent Document Search for the Staatsarchiv Zurich.

An end-to-end private Opensearch cluster deployment example. This repo demonstrates various Keyword search functionalities available through Opensearch

RESTful API for Quranic Lexical Search

Simple lexicon matcher against a text

My implementation for a kaggle competition: https://www.kaggle.com/competitions/WattBot2025

An ultra-fast BM25 retriever with support for multiple variants and meta-data filtering.

Lexical search based on partitioned index of hashed words in object storage

🥭 Semango is a hybrid search engine that combines lexical (BM25) and semantic (vector) search. It ships with an MCP server, a simple HTTP API and optional embedded UI.

A Python-based assistant for Obsidian notes that provides powerful and efficient utilities to aid in knowledge management and research. Includes lexical search with BM25S.

KnoLo Core is a local-first knowledge base engine built for small language models (LLMs). It packages your documents into a compact .knolo file and enables fully deterministic querying — no embeddings, no vector databases, no cloud services required. Designed for on-device and edge LLM deployments.

Baseline models for searching for movie plots from Wikipedia articles. Techniques include BM25 (lexical search), bi/cross-encoding (semantic search), and retrieval-augmented generation (RAG) using Mistal 7B through Fireworks.ai.

Overview of open-source lexical search libraries and servers

A product search platform where users can browse, search, and filter products using a hybrid search mechanism that combines lexical and semantic techniques

A simple hybrid search Flask application that integrates traditional full-text (lexical/BM25) search with semantic (neural sparse embeddings) search. It also provides autocomplete functionality for an improved search experience.

Agentic Hybrid RAG for Financial Report Auditing with Llama 3.3 via Groq LPUs (Production Ready)