What is RagHost?
RagHost is a game-changer in the world of internal tool development, allowing you to rapidly build RAG-powered tools that can search documents and answer questions with a single API. It's the perfect solution for those who want to leverage the power of Large Language Models (LLMs) without the hassle of training from scratch or fine-tuning models.
Key Features of RagHost
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Easy Document Embedding: Upload your documents and let RagHost handle the heavy lifting of document parsing, chunking, and vector embeddings.
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Configurable Chunking: Choose your chunk size and chunk overlap to optimize the quality of answers.
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Built-In Streaming: Get instant responses with our /ask endpoint that streams LLM responses.
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Model Flexibility: Use non-OpenAI models, including Anthropic's Claude 2, and more to come.
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Fair Pricing: Say goodbye to OpenAI's expensive pricing model and hello to a more affordable solution.
How to Use RagHost
Using RagHost is a breeze. Simply embed your files using the /embed
endpoint and ask questions using the /ask
endpoint. Our API takes care of the rest, providing you with accurate and relevant answers.
Why Choose RagHost Over OpenAI Assistants API?
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More Model Options: RagHost offers a range of models, including non-OpenAI options, giving you more flexibility and choice.
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Customizable Chunking: Optimize your chunking strategy to get the best possible answers.
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Cost-Effective: RagHost's pricing model is designed to be fair and affordable, so you can focus on building your app without breaking the bank.
Helpful Tips
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Experiment with Chunking Strategies: Find the perfect chunk size and overlap to get the most accurate answers.
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Try Different Models: See how different models perform with your specific use case.
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Integrate with Your App: Seamlessly integrate RagHost with your existing app to provide a seamless user experience.
Frequently Asked Questions
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What is Retrieval-Augmented Generation?: RAG is a technique that involves feeding an LLM with relevant context from a database to generate more accurate answers.
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How Does RagHost Handle Document Parsing?: We take care of document parsing, chunking, and vector embeddings, so you don't have to.
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Can I Use RagHost for Customer-Facing Apps?: Absolutely! RagHost is perfect for building customer-facing apps that require accurate and relevant answers.