RagLeap

RagLeap | Private AI Business Manager
Open RAG + KG stack
v0.12.2 • v0.4.0 • WhatsApp • VoiceAI • 7000+ Lang
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[RagLeap @RagLeap]

This is RagLeap's own ene. Built to be extended.

#opensource #python #rag #graphrag #llm #aiengineering #artificialintelligence #github #buildinpublic #ragleap

[RagLeap @RagLeap]

Most RAG projects start with a framework.

RagLeap took a different approach.

We built our own.

No LangChain.
No LlamaIndex.
No Haystack dependency.

[RagLeap @RagLeap]

⭐ Star the project to help more developers discover it.
🍴 Fork it if you want to experiment or build on it.
🔧 Contribute if you want to help shape the architecture.
GitHub:
https://t.co/6YqxZABtmy
This is not another framework on top of a framework.

[RagLeap @RagLeap]

#OpenSource #AI #AIAgents #RAG #KnowledgeGraph #AIEmployees #GenerativeAI #SelfHosted #DeveloperTools #ArtificialIntelligenc

[RagLeap @RagLeap]

Give Every Employee an AI Twin — Built on Open Source

What happens when an employee leaves?

Their access disappears. Their context, workflows, decisions, and hard-earned business knowledge can disappear with them.

We believe AI can change that.
https://t.co/6YqxZABtmy

[RagLeap @RagLeap]

extend, self-host, and evolve.
Your data. Your keys. Your infrastructure. Your AI employees.
Explore the project:
🔗 https://t.co/6YqxZABtmy 🌐 https://t.co/AyrJC3dKiY
What would you want your own AI Employee Twin to remember and handle?

[RagLeap @RagLeap]

Where the roadmap stands now:

Done: ragleap-rag (RAG engine, 6 vector backends built in), ragleap-graph
(knowledge-graph-augmented retrieval)
Next: ragleap-tools, ragleap-integrations
After: ragleap-agents, ragleap-flows, ragleap-observability

[RagLeap @RagLeap]

Two packages shipped, built in the open. Contributions welcome at
every stage — stars, forks, issues, and PRs all move this forward.

GitHub: https://t.co/6YqxZABtmy
PyPI: https://t.co/egaRS1XQ6A

#roadmap #opensource #buildinpublic #rag #llm #python #startuplife #aiengineering