sam264Q: Suitable for a big travel blog with lot's of content ?
Is Release0 suitable to "eat" a very big amount of content from a travel blog (+500 posts of very long form content) and be able to only use this content (without hallucination) as the only source to reply to readers with the obligation of including links to the source url for each response the chatbot will give ?
release0
Jul 27, 2025A: Hi @sam264, great question, and you’re thinking in the right direction.
Release0 fully supports your use case, especially because we offer a BYOK (Bring Your Own Key) policy. This means you can plug in your preferred LLM provider. Whether it’s OpenAI, Anthropic, Mistral, Groq, or others; and choose the one that best handles Retrieval-Augmented Generation (RAG) at scale.
Here’s why that matters for your travel blog:
• Advanced RAG Capabilities: With BYOK, you’re not locked into a one-size-fits-all AI. You can use models that specialize in grounded responses, ensuring the chatbot only pulls answers from your 500+ long-form posts.
• No Hallucinations: You can configure the bot to answer only if content is found in your custom knowledge base. Otherwise, it gracefully returns a fallback message (no made-up stuff).
• Source Linking Built-In: The system supports mandatory source attribution, every response can include a clickable link back to the originating post. Perfect for boosting engagement and SEO transparency.
• Content Scaling: You can upload and manage a massive content library easily, we support syncing from URLs, files, or APIs. Your knowledge base stays organized and fast to search.
Whether you’re using GPT-4o, Claude, or even open-weight models, you stay in control of the AI behavior.
Thank you for your reply. So if I understand I would give all my content to Release0 as my content library source (what's the format that works the best : JSON, markdown, HTML, or just scanning a list of URL ?) and LLM would just be used for redaction purpose only right ? And another question : Where would I put my RAG prompt ? To LLM or to Release0 ?
Hi,
You will add your content to your preferred LLM. Usually MD is a good format but you ca use PDF, txt.
Here is a short sample on how to do it in OpenIA:
https://youtu.be/a4TMzobl-m0
But is similar in other LLMs.
So I can't use Release0 as my retriever and RAG orchestrator and use Groq as my LLM via BYOK ? Basically Release0 is just the interface between my reader and Groq ?
Yes, Release0 acts as the orchestrator between your end-users and the LLM you choose via BYOK. We’re intentionally designed not to lock you into any one vendor. That means you can use Groq, OpenAI, Anthropic, or even open-source models, you stay in control of the AI brain.
But we’re far more than just a frontend wrapper. Think of Release0 as the full-stack RAG framework + interface + ops layer. On top of your LLM, we provide 40+ features that handle everything you’d otherwise have to custom-build:
What Release0 Adds on Top of BYOK:
• Fast, scalable content ingestion (URLs, files, APIs, sitemaps)
• Structured multi-source knowledge base management
• Granular control over answerability (fallbacks, filters, source-only modes)
• Auto-linking to source URLs in every answer
• Custom user flows, multi-turn logic, lead capture
• Zapier, Sheets, Stripe, and 3rd-party integrations
• Web widget, WhatsApp, and multi-channel deployment
• Analytics, conversation exports, and fine-tuned UX control
In short, Release0 gives you the infrastructure, logic, and orchestration layer, so you’re not stuck building all of that around your LLM. It’s like going from raw parts to a fully-deployed, production-ready AI assistant in minutes.
We designed it this way on purpose, to stay true to the open ecosystem and let you bring the best model for your content.