RagHost
RagHost simplifies RAG with an API for embedding documents and asking questions.
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Overview
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.
Access & connections
Where you can use RagHost.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- 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
FAQ 6
What is 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 RagHost?
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.
What is RAG?
Retrieval-Augmented Generation (RAG) is a technique where you add your documents to a database, and for each query, retrieve the most relevant chunks of text from your database and give them to your model, along with your question. This gives the LLM the context it needs.
Why should I use RagHost?
RagHost simplifies RAG by providing a simple API that allows you to upload your documents and query them. It handles document parsing, chunking, and vector embeddings, so you can focus on building your app.
Can I configure chunking?
Yes, you can choose your chunk size and chunk overlap when embedding a PDF or text with the RagHost API's /embed endpoint.
Does RagHost support models other than OpenAI's GPT?
Yes, RagHost supports Non-OpenAI Models. The current default model is OpenAI's GPT 3.5 Turbo, but more models will be added soon, starting with Anthropic's Claude 2.
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RagHost