Results for rag_embeddings

Pure-Rust Retrieval-Augmented Generation pipeline built on Trueno

Pure Rust RAG pipeline for OxiBonsai

Portable RAG system on a USB drive. Single binary, local embeddings, MCP protocol.

RAG pipeline for TraitClaw — Retriever trait, grounding strategies, and BM25 keyword search

Enterprise RAG module with chat context storage, vector search, session management, and model downloading. Rust implementation with Node.js compatibility.

PolarisDB - an embedded vector database for local AI and RAG workloads

RAG pipeline: index, search, and context injection for LLMs

Rust-native LLM agents & chains with resumable ReAct workflows

Core library for PolarisDB - an embedded vector database for local AI

High-performance vector database & RAG memory layer - hybrid search, embeddings, RAPTOR trees, BM25 fusion, and semantic retrieval for AI systems

Embedding trait and backends (fastembed, openai)

Batched cosine, dot, L2 distance for f32 embeddings, with a heap-based top-k selector. No BLAS, no allocator surprises.