RLAMA
Open-Source RAG CLI for Ollama
Listed in categories:
GitHubOpen SourceArtificial Intelligence
Description
RLAMA is a powerful document question-answering tool that connects to your local Ollama models, allowing you to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems for all your document needs. It supports various document formats and processes everything locally, ensuring your data remains private and secure.
How to use RLAMA?
To use RLAMA, index a folder of documents to create a new RAG system, then start an interactive session to query your document knowledge base. You can manage your RAG systems with simple commands to list or delete them as needed.
Core features of RLAMA:
1️⃣
Document Indexing for intelligent retrieval and querying
2️⃣
Multi-Format Support including text, code, PDF, DOCX, and more
3️⃣
Local Processing with no data leaving your machine
4️⃣
Interactive Sessions for querying your document knowledge base
5️⃣
Easy Management with simple commands to create, list, and delete RAG systems
Why could be used RLAMA?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Querying project documentation, manuals, and specifications | ✅ | |
| # 2 | Conducting research and summarizing key concepts from textbooks and study materials | ✅ | |
| # 3 | Creating secure RAG systems for sensitive documents | ✅ | |
Who developed RLAMA?
RLAMA is an open-source project developed by a team focused on providing powerful tools for document management and retrieval, designed specifically for developers and technical users.