RLAMA - AI Developer Tools Tool

Overview

RLAMA is an AI-driven document question-answering tool that connects to local Ollama models. It provides CLI and API server interfaces to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems for processing and querying documents.

Key Features

• AI-driven document question-answering using local models
• Create, manage, and run Retrieval-Augmented Generation (RAG) systems
• CLI for local workflows and scripting
• API server for programmatic querying and integration
• Document processing and indexing for retrieval-based answers
• Open-source repository on GitHub
• Designed for local model deployments

Ideal Use Cases

• Build local RAG pipelines for document Q&A
• Index and query internal company documents privately
• Prototype RAG integrations via API before production
• Automate document question-answering via CLI scripts

Getting Started

• Clone the RLAMA GitHub repository
• Install and configure local Ollama models
• Run the RLAMA API server
• Index your documents for retrieval
• Use the CLI or API to query documents

Pricing

No pricing information available in the project repository.

Limitations

• Requires locally hosted Ollama models for inference
• Intended for users comfortable with CLI and API workflows

Key Information

• Category: Developer Tools
• Type: AI Developer Tools Tool