RLAMA

RLAMA is an AI platform for creating RAG systems and intelligent agents, enabling local AI solutions from document Q&A to autonomous agent crews. It supports 100% local processing for maximum privacy.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is RLAMA?

RLAMA is a comprehensive AI platform designed for building and managing Retrieval-Augmented Generation (RAG) systems and intelligent AI agents. It allows users to create powerful automated workflows for various tasks, including document analysis and complex multi-agent collaboration. A key differentiator is its commitment to 100% local processing, ensuring maximum privacy and no external data transmission. RLAMA supports multiple document formats like .txt, .md, and .pdf, and offers advanced semantic chunking strategies. Users can create specialized AI agents with various roles and tools, orchestrating them into collaborative crews for sequential or parallel workflows. The platform also provides flexible integration options, including an HTTP API server and cross-platform support for macOS, Linux, and Windows, alongside compatibility with OpenAI and Ollama models.

Best used for

Ideal for developers and data scientists who need to build secure, private RAG systems for internal documentation, create specialized AI agents for research and analysis, and orchestrate multi-agent workflows for complex automation tasks. Especially valuable for those requiring 100% local data processing and flexible integration with existing systems.

Common actions

build RAG systems

create AI agents

automate workflows

process documents locally

orchestrate AI crews

retrieval-augmented generationlocal document managementdocument question-answering

Capabilities

Key features

Local RAG system creation
Intelligent AI agent building
Multi-agent crew orchestration
100% local data processing
Multiple document format support
HTTP API server
Cross-platform compatibility

Target Audience

developerdata scientistproduct managerstartup founder

Integrations

ollamaopenai

Pricing & Plans

Open Source

Not publicly disclosed. Check rlama.dev for current pricing.

FAQs

What kind of documents can RLAMA process for RAG systems?

RLAMA supports a wide variety of document formats including text files (.txt, .md, .html), code files (.py, .js, .java), and common document types like .pdf, .docx, .xlsx, and .epub. This allows for comprehensive knowledge base creation.

Can RLAMA agents use external tools like web search?

Yes, RLAMA agents can be equipped with various tools to enhance their capabilities. These include RAG search for querying internal documents, code execution for programming tasks, and web search for accessing external information, making them highly versatile.

Is RLAMA suitable for sensitive data due to its local processing?

Absolutely. RLAMA is designed for maximum privacy and security by performing 100% of its processing locally. No data is sent to external servers, making it an ideal solution for handling sensitive documents and creating private knowledge bases.

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Research & Education › Knowledge Management

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