About RagHost
RagHost is a service that simplifies Retrieval-Augmented Generation (RAG) by providing an API to embed documents or text and ask questions. It allows users to build internal tools for searching documents or customer-facing apps for answering questions without managing databases, document parsing, chunking, or vector embeddings.
How to Use
To use RagHost, you can upload documents via a curl command to the /embed endpoint. Then, you can ask questions using another curl command to the /ask endpoint, providing your query as a parameter.
Key Features
- Simple API for embedding documents and asking questions
- Configurable chunking for optimized retrieval quality
- Built-in streaming for LLM responses
- Support for Non-OpenAI Models
Use Cases
- Building an internal tool for searching company documentation
- Creating a customer-facing app for answering questions based on a knowledge base
Key Features
Pros & Cons
- Eliminates the need to manage vector databases, document parsing, chunking, or embeddings
- Easy-to-use API with curl examples for quick integration
- Configurable chunking improves retrieval accuracy
- Supports streaming and non-OpenAI models for flexibility
Best For
Alternatives to RagHost
Weaviate
Open-source vector database
Twilio
Cloud communications APIs
gpt-researcher
An autonomous agent that conducts deep research on any data using any LLM providers
Cohere
Enterprise NLP and RAG APIs
Modal
Serverless cloud for AI
browser-use
🌐 Make websites accessible for AI agents. Automate tasks online with ease.