AI Expert Content Assistant

Answers users' questions about health and wellbeing, grounds every answer in CARAVAN's expert content library, and hands them to the right content to go deeper.

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Example conversation: a user asks "Why do I feel bloated all the time?" and the AI Expert Content Assistant answers, then recommends two expert videos: "Why Am I Always Bloated?" by Dr. Joe and "Mindful Eating Practices" by Laura.
1,000+Qualified Global Experts
100K+High-Quality Content Assets
1,000+Guided Programs & Challenges

Answers built on expert content, not the open web

A closed-domain RAG system. Every response is generated from a curated, expert-vetted corpus, so answers stay traceable to their source and hallucination risk stays low.

Example chat: the assistant asks "What's on your mind today?", the user says "I can't sleep well", the assistant asks whether it's falling asleep or waking up at night, the user answers "Waking up at night", and the assistant starts finding content.

Context-Aware Conversational AI

Natural-language understanding that detects user intent, asks clarifying questions when needed, and keeps context across multi-turn conversations.

Example retrieval card: content filtered by category Health and condition Gut Health, with a transcript match highlighting "slow digestion" and "gut-brain axis", followed by topic tags.

Grounded Retrieval

Semantic search across transcripts, descriptions and metadata tags in 100,000+ expert assets. Retrieved passages are passed to the model as context, so answers come from expert sources rather than model memory, and each answer cites the content it came from.

Example recommendation card titled "Recommended for you", matched by condition and ranked by length: Neck Stretches for Tension Relief (Candice, 10 min), Yoga for Neck Tension Relief (Diana, 10 min), and Shoulder & Neck Reset (Thai, 5 min).

Personalized Expert Recommendations

Relevance-ranked recommendations matched by condition, audience, topic and format length, from a two-minute explainer to a full program.

How a question becomes the right content

  1. 1The User Asks

    A question, symptom, goal, life stage, or follow-up, in their own words.

  2. 2Retrieve, then generate

    The assistant detects intent, retrieves the most relevant passages, and generates a plain-language answer grounded in those sources.

  3. 3Cite and recommend

    The user gets a sourced answer plus the expert content that fits their need.

Three layers working together

What users see, the engine behind it, and the checks that keep it safe.

User Experience

Health, Financial, Movement & Mindfulness Q&AAnswers everyday health and wellness questions, covers budgeting, insurance, saving, and retirement, and finds fitness, yoga, and meditation classes by need.
Content RecommendationsSuggests the right expert content to explore next.
Topic NavigationSurfaces related series and learning paths.

Retrieval & Generation Engine

Semantic RetrievalSearches 100,000+ pieces of expert-developed content, including transcripts and articles.
Relevance RankingRanks by condition, audience, and topic tags.
Grounded GenerationAnswers generated only from retrieved sources, with citations to the expert and asset.

Guardrails

Scope CheckKeeps answers educational and non-diagnostic.
Refer-OutPoints users to a clinician or advisor when needed.

Plug into your LLM, agent, or RAG pipeline

Already running an AI assistant? Keep it. CARAVAN is model-agnostic, so it works with whichever LLM or agent framework you use. Your assistant stays in charge of the conversation and calls on CARAVAN whenever a user asks about health, money, or wellbeing.

  • Your brand, your interface. Answers and content show up inside your existing experience.
  • Your model stays in control. It decides when a question needs expert content and what to do with the result.
  • Sources and guardrails included. Every response comes back grounded, cited, linked to its experts, and within scope.
Example of an existing assistant calling CARAVAN: a user asks "How can I manage stress at work?" and the assistant answers with two CARAVAN recommendations, "Breathing for Stress Relief" and "Setting Healthy Work Boundaries".

Tool-callable via API or MCP server

Connect through our API or MCP server. When a question needs expert input, your agent invokes CARAVAN through tool calling and gets back a grounded answer with source citations and expert metadata.

Retrieval API for your RAG stack

Already built your own RAG? Use CARAVAN as a retrieval source. Pull relevance-ranked passages, transcript chunks, and expert metadata straight into your vector store, retrieval pipeline, or prompts.

White-label embeddable assistant

No AI chat yet? Embed the AI Expert Content Assistant under your brand and launch a fully grounded RAG assistant without building one.

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