DonTizi/rlama

Health v2 · maintenance only

Adoption not part of the score

1095 stars · 73 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

cli-tool · maturity maintenance

rag llm-inference agent-framework chatbot search-engine cli api-framework large-language-models developer-tools self-hosted windows cli go ollama local-llm document-qa rag-systems multi-agent offline-ai knowledge-base retrieval-augmented-generation ai-agents command-line macos linux

Member repositories

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