Fast State-of-the-Art Static Embeddings
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Updated
Aug 31, 2026 - Python
Fast State-of-the-Art Static Embeddings
Fast Multimodal Semantic Deduplication & Filtering
Official Rust Implementation of Model2Vec
Pre-train Static Word Embeddings
A unified web extraction and stateful automation engine for AI. Replaces heavy testing frameworks with token-optimized browser control, deep research, and HITL.
Turn speech into semantic paragraphs in real time, on a CPU (no GPU) — single-pass streaming chunker + Moonshine STT + a live mic demo. Plus a transcribe/chunk/summarize API.
CLI for semantic search on your computer. Searches text files and identifies the most relevant chunks to your query.
Fast hybrid code search for agents. Pure Go, drop-in MCP-compatible with semble.
Drag and drop your Excel or CSV file with a text column for batch calculating semantic similarity for your queries.
Local-first cross-corpus retrieval MCP server — model2vec embeddings + LanceDB (Tantivy BM25) + SQLite. One binary; hybrid (dense + BM25) search across markdown, code, and Claude Code sessions.
벼리 — headless hybrid (lexical + semantic) search for a Markdown vault. No app, no GPU, no cloud. Korean/cross-lingual. Apache-2.0.
Fast hybrid (BM25 + semantic) local code search for AI agents - pure Rust, persistent index, MCP/gRPC servers, tree-sitter symbols
Fast, local semantic search over web content for AI agents. Hybrid BM25 + potion-retrieval-32M embeddings, cross-page dedup, token-budget mode, MCP server, SearXNG bridge. ~90% fewer tokens than raw web_fetch.
Blazingly fast word embeddings with Tokenlearn
Model2Vec inference in pure Zig.
A high-performance Dart wrapper for model2vec-rs using Rust FFI.
Fact evidence-first brain with property graph + hybrid RAG. Search is deduction. ETL included.
Describe a concept and instantly find the perfect word. A free reverse dictionary powered by AI that runs entirely in your browser — no sign-up, no tracking.
An effort to build a holistic matching engine that supports regex, cucumber expressions, semantic phrases, and combinations of that. Could be useful for Guardrails, Caching systems etc. Can eventually be a symbolic AI engine
One install, three MCPs: graph chat memory + semantic code search + backend. Benchmarked with claude-haiku-4-5: -19% tokens & 23× faster on memory-recall questions.
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