rag
Here are 216 public repositories matching this topic...
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
-
Updated
Mar 16, 2026 - Rust
A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 91+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.
-
Updated
Mar 29, 2026 - Rust
Postgres with GPUs for ML/AI apps.
-
Updated
Jul 1, 2025 - Rust
Data transformation framework for AI. Ultra performant, with incremental processing. 🌟 Star if you like it!
-
Updated
Mar 28, 2026 - Rust
HelixDB is an open-source graph-vector database built from scratch in Rust.
-
Updated
Mar 25, 2026 - Rust
AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.
-
Updated
Mar 18, 2026 - Rust
All-in-one platform for search, recommendations, RAG, and analytics offered via API
-
Updated
Jan 25, 2026 - Rust
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
-
Updated
Dec 21, 2024 - Rust
High-performance GraphRAG inspired from LightRag written in Rust
-
Updated
Mar 28, 2026 - Rust
Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.
-
Updated
Jan 31, 2025 - Rust
Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀
-
Updated
Mar 11, 2026 - Rust
Statespace framework — build the APIs and MCPs your agents need to understand and work with your data.
-
Updated
Mar 29, 2026 - Rust
Rust library for vector embeddings and reranking.
-
Updated
Mar 17, 2026 - Rust
The all-in-one RWKV runtime box with embed, RAG, AI agents, and more.
-
Updated
Feb 22, 2026 - Rust
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.
-
Updated
Mar 17, 2026 - Rust
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
-
Updated
Nov 24, 2025 - Rust
Improve this page
Add a description, image, and links to the rag topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the rag topic, visit your repo's landing page and select "manage topics."