Highlights
- Pro
Stars
A vector index built on TurboQuant, written in Rust with Python bindings
A curated list of battle-tested tools, frameworks, and best practices for building scalable, production-grade Retrieval-Augmented Generation (RAG) systems.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Query Expension for Better Query Embedding using LLMs
AI agents running research on single-GPU nanochat training automatically
Empowering RAG with a memory-based data interface for all-purpose applications!
Vector search using only Parquet and DataFusion
Tiny, Fast, and Deployable anywhere — automate the mundane, unleash your creativity
A lightweight, lightning-fast, in-process vector database
Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravit…
AirLLM 70B inference with single 4GB GPU
Hand-crafting answers with more precision
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Learn Rust dark magics by implementing an expression framework in database systems
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
A curated list of resources dedicated to retrieval-augmented generation (RAG).
LATTICE turns retrieval into an LLM-driven navigation problem over a semantic scaffold
A curated list of Rust code and resources.
Distributed SQL database in Rust, written as an educational project
An efficient unique-line counter (25x over `sort | uniq -c`)
Comprehensive guide to learn RAG from basics to advanced.
Learn database internals by implementing it from scratch.
A course of building an LSM-Tree storage engine (database) in a week.