FareedKhan-dev/scalable-rag-pipeline
A scalable RAG platform combining LangGraph agents, hybrid retrieval (Vector+Graph), and Ray orchestration on Kubernetes.
- Stars
- 167
- Forks
- 66
- Open issues
- 1
- Last push
- 10mo ago
scalable-rag-pipeline star history
+1 this week
About scalable-rag-pipeline
scalable-rag-pipeline is a free, open-source AI agent tool by FareedKhan-dev, written mainly in Python. A scalable RAG platform combining LangGraph agents, hybrid retrieval (Vector+Graph), and Ray orchestration on Kubernetes. It has 167 GitHub stars and 66 forks, and was last updated 10mo ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 167
- Last update
- 10mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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scalable-rag-pipeline FAQ
Can I use scalable-rag-pipeline commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is scalable-rag-pipeline free?
Yes. scalable-rag-pipeline is open source and free to use. It's released under the MIT license, a standard open-source license.
Does scalable-rag-pipeline run on a Mac?
Yes. According to the project, scalable-rag-pipeline works on macOS.
Does scalable-rag-pipeline need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is scalable-rag-pipeline still maintained?
It was last updated 10mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to scalable-rag-pipeline?
Similar free, open-source tools include mem0, AutoGPT, ruflo, hermes-agent.
Maintain scalable-rag-pipeline?
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