SciPhi simplifies building, deploying, and optimizing Retrieval-Augmented Generation (RAG) systems, empowering developers to focus on AI innovation.
AI Knowledge Base
Large Language Models (LLMs)
#open-source platform
#AI innovation
#RAG systems
#knowledge graph extraction
#developer tools
#automated deployment
#document management
#user management
#scalability solutions
#observability tools
#efficient AI
#data processing
#machine learning
#application development
#cloud infrastructure
#AI applications
#intelligent systems
#software development
#technology solutions
#natural language processing
...
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SciPhi
SciPhi simplifies building, deploying, and optimizing Retrieval-Augmented Generation (RAG) systems, empowering developers to focus on AI innovation.
AI Knowledge Base
Large Language Models (LLMs)
#open-source platform
#AI innovation
#RAG systems
#knowledge graph extraction
#developer tools
#automated deployment
#document management
#user management
#scalability solutions
#observability tools
#efficient AI
#data processing
#machine learning
#application development
#cloud infrastructure
#AI applications
#intelligent systems
#software development
#technology solutions
#natural language processing
...
Featured
What is SciPhi?
SciPhi is an open-source platform designed to simplify the building, deploying, and scaling of Retrieval-Augmented Generation (RAG) systems. It provides an end-to-end solution for developers, enabling them to focus on AI innovation without worrying about the underlying infrastructure. With tools for automated knowledge graph extraction, document and user management, and robust observability, SciPhi ensures efficient and optimized RAG system deployment.
Who will use SciPhi?
- Developers
- AI Engineers
- Data Scientists
- Tech Startups
- Research Institutions
How to use the SciPhi?
- Step1: Visit the SciPhi website.
- Step2: Sign up for an account or log in.
- Step3: Access the platform's dashboard.
- Step4: Follow guides to build and deploy your RAG system.
- Step5: Use tools for knowledge graph extraction and management.
- Step6: Optimize and monitor your system using provided observability features.
Platform
- web
SciPhi's Core Features & Benefits
The Core Features
- End-to-End RAG System Deployment
- Automated Knowledge Graph Extraction
- Document and User Management
- Robust Observability Tools
The Benefits
- Simplifies AI Development
- Speeds Up Deployment Time
- Enhances System Optimization
- Reduces Infrastructure Complexity
SciPhi's Main Use Cases & Applications
- Building RAG Systems for AI Applications
- Deploying Knowledge Graphs
- Managing Large Document Repositories
- Optimizing AI System Performance
FAQs of SciPhi
SciPhi Company Information
- Website: https://www.sciphi.ai
- Company Name: SciPhi
- Support Email: [email protected]
- Facebook: NA
- X(Twitter): NA
- YouTube: NA
- Instagram: NA
- Tiktok: NA
- LinkedIn: https://www.linkedin.com/company/sciphi-ai
Analytic of SciPhi
Visit Over Time
Monthly Visits
21.2k
Avg Visit Duration
00:03:11
Page Per Visit
3.63
Bounce Rate
45.38%
May 2024 - Jul 2024 All Traffic
Geography
Top 5 Regions
United States
44.11%
China
18.55%
India
11.37%
Saudi Arabia
9.16%
Vietnam
5.55%
May 2024 - Jul 2024 Worldwide Desktop Only
Traffic Sources
Direct
43.44%
Search
27.42%
Referrals
17.54%
Social
10.97%
Paid Referrals
0.53%
Mail
0.07%
May 2024 - Jul 2024 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| sciphi | 890 | $ -- |
| sciphi search | 60 | $ -- |
| postgres_vecs_collection | 60 | $ -- |
| r2r-docs.sciphi.ai | 40 | $ -- |
| sciphi triplex | 280 | $ -- |
SciPhi Reviews
5/5
SciPhi's Main Competitors and alternatives?
- LangChain
- LlamaIndex
- Haystack
- Flower
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