raggenie and ragbuilder

raggenie
51
Established
ragbuilder
47
Emerging
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 23/25
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 19/25
Stars: 180
Forks: 67
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 1,529
Forks: 126
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About raggenie

sirocco-ventures/raggenie

RAGGENIE: An open-source, low-code platform to build custom Retrieval-Augmented Generation (RAG) Copilets with your own data. Simplify AI development with ease!

This helps non-technical professionals build custom AI assistants or chatbots to answer questions using their own business data. You input your company's documents, website content, or database information, and it produces a conversational AI that can provide relevant answers. This is for business users, content managers, or team leads who want to deploy internal knowledge bots or customer support assistants.

AI-assistant-creation knowledge-management customer-support-automation business-intelligence internal-communications

About ragbuilder

KruxAI/ragbuilder

A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data

This toolkit helps you automatically set up an optimal Retrieval-Augmented Generation (RAG) system for your data. You provide your documents, and it tunes various parameters to create a production-ready RAG pipeline that gives accurate answers to user queries. Anyone building a sophisticated AI chatbot or question-answering system on their proprietary data would find this useful.

AI chatbot development knowledge management information retrieval custom LLM applications content summarization

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