SciPhi
One-click RAG deployment for developers
Listed in categories:
Artificial IntelligenceDeveloper ToolsOpen Source
Description
SciPhi is an open source platform that simplifies the process of building, testing, deploying, and scaling LLM RAG systems. It offers customization options, cloud deployment, integration with search providers, version control with Git, and fast deployment processes. Users can choose from a variety of hosted and remote providers for vector databases, datasets, Large Language Models (LLMs), and application integrations. SciPhi supports both self-hosted and cloud deployment options, allowing developers to focus on building AI applications efficiently.
How to use SciPhi?
To use SciPhi, design your pipeline with custom embedding chunks or use default settings. Deploy directly to the cloud for backend management. Integrate with search providers for advanced search capabilities. Track revisions with Git for better maintainability. Reach out to SciPhi for a fully managed deployment process or self-host using Docker on your infrastructure.
Core features of SciPhi:
1️⃣
Customization of pipeline design
2️⃣
Cloud deployment management
3️⃣
Integration with search providers
4️⃣
Version control with Git
5️⃣
Fast deployment processes
Why could be used SciPhi?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Seamless deployment of LLM backends requiring Retrieval Augmented Generation (RAG) | ✅ | |
| # 2 | Monitoring and improving AI solutions over time | ✅ | |
| # 3 | Powering sales, education, and personal assistant solutions | ✅ | |
Who developed SciPhi?
SciPhi is loved by builders like Kevin T, Kehinde W, and Sieko7ML Engineer for its cost-effective LLM solutions and expert guidance in improving RAG pipelines.