# DonTizi/rlama

A powerful document AI question-answering tool that connects to your local Ollama models. Create, manage, and interact with RAG systems for all your document needs.

Repository: https://github.com/DonTizi/rlama
Canonical: https://ross.abutalabs.com/products/rlama
Homepage: https://rlama.dev/
Language: Go
License: Apache-2.0
License Family: permissive
Last push: 2025-08-09T16:24:43+00:00

## Health v2 (maintenance only)
Score: 38/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 36, release rhythm 40, longevity 39
- inputs: {"age_days": 546, "days_push": 389, "days_rel": 466, "gap_med": 0, "n_releases_24m": 22}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1095, forks 73 (observed 2026-08-28T04:03:34.219473+00:00)

## What it is
RLAMA is a Go CLI tool for building and querying local Retrieval-Augmented Generation (RAG) systems over your documents using Ollama models. It supports multiple document formats, directory/website watching, a REST API server, and AI agents/crews for multi-agent workflows.

## Use cases
- ask questions about my local documents with a local LLM
- build a RAG system over a folder of pdfs and markdown files
- chat with my documentation offline without sending data to the cloud
- index a website and query its content
- set up multi-agent workflows with local models
- serve a RAG system through a REST API

## When to choose
- you want fully local, private document Q&A with Ollama
- you prefer a simple CLI workflow for creating and managing RAG systems
- you need directory or website watching to keep a RAG up to date

## When to avoid
- you need actively maintained software - the project is currently paused
- you want cloud-hosted or managed RAG infrastructure
- you need enterprise data warehouse integration without the paid Pro tier

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: rag, llm-inference, agent-framework, chatbot, search-engine, cli, api-framework
- domain: large-language-models, developer-tools, self-hosted
- platform: windows, cli, go
- tags: ollama, local-llm, document-qa, rag-systems, multi-agent, offline-ai, knowledge-base, retrieval-augmented-generation, ai-agents, command-line, macos, linux

## Member repositories
- DonTizi/rlama (main) score 38

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:34.219473+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:47:13.497407+00:00, confidence not recorded.
  - readme: https://github.com/DonTizi/rlama (fetched 2026-08-28T04:03:34.219473+00:00, sha 097bdf5894bf)
  - homepage: https://rlama.dev/ (fetched 2026-08-29T12:50:07.417760+00:00, sha 73caefbd2de9)
  - site_page: https://rlama.dev/documentation (fetched 2026-08-29T12:50:07.427676+00:00, sha a3d39bc0d006)
  - site_page: https://rlama.dev/download (fetched 2026-08-29T12:50:07.429780+00:00, sha 6b980bcad785)
- Data as of 2026-08-30T08:39:29.467469+00:00.