DocsBot AI integration enables you to create and manage AI-powered chatbots trained on your documentation and content. Relevance AI enhances this capability by allowing your bots to utilize advanced AI Agents for more effective and responsive interactions.
DocsBot AI empowers you to create AI-driven chatbots that leverage your documentation. With Relevance AI, these bots can intelligently interact with users, providing dynamic responses and insights based on real-time data.
Knowledge Orchestration
Empowers your AI agent to seamlessly organize and deliver enterprise documentation across multiple channels
Contextual Response Precision
Enhances your agent's ability to provide highly accurate answers through advanced NLP and semantic understanding
Multi-Source Intelligence
Equips your agent to leverage diverse content sources for comprehensive and unified knowledge delivery
Relevance AI seamlessly integrates with DocsBot AI to enhance your chatbot workflows with intelligent document processing.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
DocsBot AI integration allows you to create and manage AI-powered chatbots that are trained on your documentation and content. This integration provides a RESTful API interface for programmatically creating knowledge sources, managing bots, and handling document processing.
Key benefits include automated document processing and bot training, support for multiple source types (such as URLs, documents, and FAQs), scheduled content updates, and secure OAuth-based authentication.
To get started, ensure you have a DocsBot AI account with API access, OAuth credentials with the necessary permissions, and valid team and bot IDs from your DocsBot AI dashboard. Your system should support HTTPS for API calls, JSON parsing, and OAuth 2.0 authentication.
For authentication setup, use the following configuration:
const config = { oauth_account_id: "YOUR_OAUTH_ACCOUNT_ID", oauth_permission_type: "pipedream-docsbot-ai-read-write" };
Base configuration can be set up as follows:
const baseConfig = { baseUrl: "https://docsbot.ai", headers: { "Content-Type": "application/json" // Authorization header is automatically added } };
To create a new source, you can use the following code snippet:
const createSource = { oauth_account_id: "YOUR_OAUTH_ACCOUNT_ID", teamId: "YOUR_TEAM_ID", botId: "YOUR_BOT_ID", type: "document", // Options: url, sitemap, rss, urls, csv, document, qa, wp title: "My Documentation", scheduleInterval: "daily" // Options: daily, weekly, monthly, none };
For URL-based sources, modify the createSource object as follows:
const urlSource = { ...createSource, type: "url", url: "https://yourdocs.com/documentation" };
For FAQ-based sources, you can structure it like this:
const faqSource = { ...createSource, type: "qa", faqs: [ { question: "What is DocsBot AI?", answer: "DocsBot AI is an AI-powered documentation chatbot platform." } ] };
The expected response format for creating a source is:
{ "response_body": { "sourceId": "src_123xyz", "status": "processing", "type": "document" }, "status": 200 }
Common API endpoints include creating a source:
POST /api/v1/sources { "teamId": "team_123", "botId": "bot_456", "type": "document", "title": "API Documentation", "file": "path/to/document.pdf" }
To check the status of a source, use:
GET /api/v1/sources/{sourceId}
For troubleshooting, common issues include authentication errors, invalid source type errors, processing failures, and schedule interval errors. Solutions involve verifying credentials, checking permissions, and ensuring source validity.
Best practices for source creation include using unique titles, implementing error handling, and monitoring processing status. For content management, regular updates and retry logic for failed requests are recommended. Performance optimization can be achieved through batch uploads and caching.
Be aware of rate limits and quotas, which vary by plan, including API call limits, document size restrictions, and source refresh intervals based on your subscription level.
For additional support or specific issues, contact DocsBot AI support or consult the full API documentation.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
