AI Directory : AI Knowledge Base, Large Language Models (LLMs)
What is SciPhi?
SciPhi is a cloud platform for developers that simplifies building and deploying serverless RAG pipelines.
How to use SciPhi?
1. Sign up for an account on SciPhi. 2. Build your RAG pipeline using the intuitive framework. 3. Deploy your solution into production with just one click. 4. Monitor embeddings, RAG, and evaluation results in real-time. 5. Scale your deployment with autoscaling serverless technology.
SciPhi's Core Features
One-click RAG deployment
Intuitive framework with abstractions
Real-time monitoring
Autoscaling serverless deployment
SciPhi's Use Cases
Build retrieval for AI applications
Power sales, education, and personal assistant solutions
SciPhi Support Email & Customer service contact & Refund contact etc.
More Contact, visit the contact us page(https://calendly.com/d/3ys-b4n-p3h)
SciPhi Company
SciPhi Company name: SciPhi .
SciPhi Login
SciPhi Login Link: https://app.sciphi.ai/registration
SciPhi Sign up
SciPhi Sign up Link: https://app.sciphi.ai/registration
SciPhi Pricing
SciPhi Pricing Link: https://www.sciphi.ai/#pricing
SciPhi Github
SciPhi Github Link: https://github.com/SciPhi-AI
FAQ from SciPhi
What is SciPhi?
SciPhi is a cloud platform for developers that simplifies building and deploying serverless RAG pipelines.
How to use SciPhi?
1. Sign up for an account on SciPhi.n2. Build your RAG pipeline using the intuitive framework.n3. Deploy your solution into production with just one click.n4. Monitor embeddings, RAG, and evaluation results in real-time.n5. Scale your deployment with autoscaling serverless technology.
How does SciPhi compare to the OpenAI assistant?
SciPhi allows you to select OpenAI as an LLM completion provider, therefore SciPhi can offer the same features of the OpenAI assistant API. However, with SciPhi you have full observability into the RAG pipeline and the ability to fully customize your solution.
What are some primary use cases for SciPhi?
SciPhi allows for the seamless deployment of any LLM backend that requires Retrieval Augmented Generation (RAG). Further, the SciPhi platform makes it easy to monitor and improve your solution over time. Our users are already leveraging the platform to power sales, education, and personal assistant solutions.
What is the largest AI solution powered by SciPhi?
The platform provided by SciPhi is used internally to manage and deploy a semantic search engine with over 1 billion embedded passages.
What is included in the hands-on setup?
The team at SciPhi will assist in embedding and indexing your initial dataset in a vector database. The vector database is then integrated into your SciPhi workspace, along with your selected LLM provider. The above work forms a complete pipeline that is then deployed and transferred to your SciPhi workspace.