Rust library for generating vector embeddings and reranking locally!
-
Updated
Sep 22, 2026 - Rust
Rust library for generating vector embeddings and reranking locally!
Suite of tools containing an in-memory vector datastore and AI proxy
Chat with your knowledge base — a conversational RAG agent (LangGraph + OpenRouter) built on Fast Dash's native chat mode. A modern rebuild of the original Embedchain demo.
SQL-like query language and CLI for Qdrant vector search engine
The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.
Event-driven AI document processing engine with offline RAG, summarization, speech transcription, SSE streaming, and self-hosted LLM inference.
Build an AI advisor SKILL from any YouTube channel — transcripts, BM25 + semantic RAG, verbatim quotes with timestamps.
A polars plugin for embedding DataFrames
Chat with Lex! A RAG app, using HyDE with milvus DB for vector store, VLLM for LLM inference, and FastEmbed for Embeddings!
Legal Intelligence Terminal — Hybrid RAG for UAE & Indian Law, Taxation & Compliance. Built by Evolucent AI, engineered by Eulogik.
FastAPI backend for archive.ire.org
MedSage is a multimodal healthcare assistant that combines LLMs, vector search, and real-time reasoning to deliver fast, reliable medical insights. It supports symptom analysis, medical document Q&A, universal file RAG, multilingual interactions, and emergency SOS with live location.
Fast local code intelligence for AI agents powered by AST Treesitter, SCIP, semantic search and a reranker
Generating embedding for 1000s of PDF Documents, in Qdrant using FastEmbed with distributed Computing in Ray
mind readingly accurate, blazingly fast codebase search, written in pure rust.
Self-hosted documentation RAG pipeline that serves semantic search to LLM agents over the Model Context Protocol.
A fast and simple local API for generating text embeddings.
To associate your repository with the fastembed topic, visit your repo's landing page and select "manage topics."