RagHost

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Introduction: RagHost simplifies Retrieval-Augmented Generation (RAG) by providing an API for embedding documents and querying text. It enables users to develop internal document search tools or customer-facing Q&A applications without the need to manage databases, document parsing, chunking, or vector embeddings.

RagHost Product Information

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, upload your documents using a curl command to the /embed endpoint. Once uploaded, you can submit queries via a curl command to the /ask endpoint by providing your question as a parameter.

RagHost's Core 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

RagHost Use Cases

#1 Building an internal tool for searching company documentation
#2 Creating a customer-facing app for answering questions based on a knowledge base

FAQ from RagHost

What is RAG? +

Retrieval-Augmented Generation (RAG) is a technique where you add documents to a database, retrieve the most relevant text chunks for each query, and provide them to your model alongside your question. This process supplies the LLM with the necessary context.

Why should I use RagHost? +

RagHost simplifies RAG by providing an API that allows you to upload and query your documents. It manages document parsing, chunking, and vector embeddings, allowing you to focus on building your application.

Can I configure chunking? +

Yes, you can specify your preferred chunk size and chunk overlap when embedding a PDF or text file using the RagHost /embed API endpoint.

Does RagHost support models other than OpenAI's GPT? +

Yes, RagHost supports non-OpenAI models. While the current default is OpenAI's GPT-3.5 Turbo, additional models, such as Anthropic's Claude 2, will be added soon.

RagHost Pricing

Free

$0

Free plan available.

Related Model Comparison Pages

Use these comparison pages to understand the trade-offs between the models most relevant to RagHost.

Compare Claude 4 Opus and Claude 4 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for reasoning-heavy tasks versus reasoning-heavy tasks.

Compare Claude 4 Opus and Claude 4.5 Haiku across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for reasoning-heavy tasks versus reasoning-heavy tasks.

Compare Claude 4 Opus and Claude 4.5 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for reasoning-heavy tasks versus reasoning-heavy tasks.

Compare Claude 4 Opus and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for reasoning-heavy tasks versus long-context workloads.