jonfairbanks/local-rag
Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
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+19
STARS · LAST 30 DAYS
1
PER DAY
#1,007
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +19 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
local-rag gained 19 stars in the last 30 days, about 1 a day, and now has 762. It is about 3 years old and has averaged roughly 254 stars a year. It ranks #1,007 among Python repositories and #7,271 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#7782
BEST RANK
Oct 14, 2026
FIRST APPEARANCE
Active
STATUS TODAY
local-rag has maintained a continuous presence across global trending indexes, peaking at #7782. Below is the 30-day activity profile:
💡 Overview
local-rag is an open-source project written in Python: Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
Engineered for speed, consistency, and developer ease, it solves common hurdles in large-language-models, llm, ollama. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install local-rag⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
local-rag coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with local-rag.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install local-rag using your package manager: `pip install local-rag`
Initialize your project workspace or configuration file for local-rag.
Import local-rag into your codebase or invoke it directly from your terminal.
Execute your test suite or run `local-rag --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
jonfairbanks/local-rag is currently ranked #7,271 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,262 | ethereum/ERCs | Solidity | ★ 763 | Compare ↗ |
| #7,262 | nzbgetcom/nzbget | C++ | ★ 763 | Compare ↗ |
| #7,262 | alpkeskin/rota | Go | ★ 763 | Compare ↗ |
| #7,262 | huggingface/kernels | Python | ★ 763 | Compare ↗ |
| #7,262 | liquidos-ai/AutoAgents | Rust | ★ 763 | Compare ↗ |
| #7,271 | jonfairbanks/local-rag This Project | Python | ★ 762 | |
| #7,271 | ronin-rb/ronin | Ruby | ★ 762 | Compare ↗ |
| #7,271 | aws-actions/amazon-ecs-deploy-task-definition | JavaScript | ★ 762 | Compare ↗ |
| #7,271 | kmesh-net/kmesh | Go | ★ 762 | Compare ↗ |
| #7,271 | mierau/hotline | Swift | ★ 762 | Compare ↗ |
| #7,271 | khaphanspace/gonhanh.org | Rust | ★ 762 | Compare ↗ |
Frequently Asked Questions
What does local-rag do? +
Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
What language is local-rag written in? +
The primary language is Python. Topics include: large-language-models, llm, ollama, rag, retrieval-augmented-generation.
Is local-rag actively maintained? +
Yes, the last recorded push was on Oct 14, 2026 with 8 open issues being tracked.
How many stars does local-rag have? +
local-rag has 762 stars and 95 forks on GitHub.
How does local-rag rank among GitHub repositories? +
With 762 stars, jonfairbanks/local-rag is ranked #7,271 globally across all repositories tracked on GitHubRepo and #1,007 among Python projects.
What license is local-rag distributed under? +
The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.
