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

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

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.

RESTful API for Quranic Lexical Search

Simple lexicon matcher against a text

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

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

🥭 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.

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

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.

Overview of open-source lexical search libraries and servers

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

Benchmark comparing BM25, vector, and hybrid retrieval strategies using Claude agents and MCP tools