SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

Fast BM25 search in Python, powered by Numpy and Numba

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

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.

Cross-platform Search Engine and File Explorer for Multimedia

Lexical Augmented Unified Retrieval Using Semantics

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

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

RESTful API for Quranic Lexical Search

🥭 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.

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

Simple lexicon matcher against a text

Elasticsearch MCP Server with a Semantic-to-Lexical layer for Business rules

Reverse Wiktionary is a semantic lexical search app. This repository contains the online serving layer: FastAPI, Qdrant query integration, Redis-backed UI state, Docker/Nginx deployment files, and Azure beta deployment scripts. Offline artifact production and test harnesses live in companion repositories.

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

Lexical routing layer for LLM tool selection. Filter MCP-discovered and registry tools before prompt assembly using fast BM25S retrieval.

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.

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.