Rust library for generating vector embeddings, reranking locally!
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Updated
May 30, 2026 - Rust
Rust library for generating vector embeddings, reranking locally!
Suite of tools containing an in-memory vector datastore and AI proxy
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.
Give your AI Agent understanding of your codebase. A Rust CLI that turns your entire project into a single, optimized context file for Cursor, Antigravity, and Claude.
Chat with Lex! A RAG app, using HyDE with milvus DB for vector store, VLLM for LLM inference, and FastEmbed for Embeddings!
FastAPI backend for archive.ire.org
A polars plugin for embedding DataFrames
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.
Generating embedding for 1000s of PDF Documents, in Qdrant using FastEmbed with distributed Computing in Ray
A fast and simple local API for generating text embeddings.
⚡ Instantly index, deduplicate, and search your code, docs, and web content in a blazing-fast Qdrant vector DB for AI & RAG.
This project showcases how to use AWS Lambda Managed Instances with AI/ML capabilities for real-time customer analytics
🧠 Universal long-term memory for AI agents. GraphRAG-powered knowledge base with vector search + graph traversal. Privacy-first, local-only, MCP-compatible. Connect Claude, Copilot, or any AI assistant.
A library to gather structured statistics on the source code files in a software repository, generate embeddings and store in a vector database.
ExFastembed is an Elixir wrapper around the fastembed-rs crate.
Hub repo for Claude Code related tools
Hub repo for Claude Code related tools (Japanese distributions)
An offline document-to-agent-context compiler. Transform unstructured files (PDFs, CSVs, Markdown) into token-efficient, semantic context packs for LLM agents.
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