How to Build an AI-Powered FAQ Search in Minutes
A step-by-step guide to creating a smart, relevant FAQ search with CoderSwap. No ML expertise required.
Step 1: Upload Your FAQ Documents
Gather your FAQ content into simple text files or PDFs. Then, use the CoderSwap dashboard to upload them to a new project. We handle the parsing, chunking, and embedding automatically.
- ✓ Drag and drop your FAQ files (PDF, DOCX, Markdown, TXT)
- ✓ Automatic parsing and chunking of content
- ✓ Vector embeddings generated in real-time
Step 2: Describe Your Search Logic
This is where CoderSwap shines. Instead of writing complex queries, simply describe how you want the search to behave. For an FAQ search, you might want to prioritize exact matches and recently updated articles.
"Prioritize exact matches for question titles, and boost articles updated in the last 60 days."Step 3: Test and Deploy Your API
Use the interactive search builder to test your new search logic with sample queries. Once you're happy with the results, deploy your search with a single click. CoderSwap provides a production-ready API endpoint, complete with API keys and rate limiting.
Test with sample queries
Interactive search builder with real-time results
Deploy with one click
Instant production-ready API endpoint
Get your API key
Built-in rate limiting and monitoring included
Step 4: Integrate Your Search API
With your API endpoint and key, you can now integrate your new FAQ search into any application. Here's an example of how to call the API from JavaScript:
const response = await fetch('https://api.coderswap.io/v1/search', {
method: 'POST',
headers: {
'X-API-Key': 'cs_pub_YOUR_PUBLIC_KEY',
'Content-Type': 'application/json'
},
body: JSON.stringify({
query: 'how to reset password',
top_k: 5
})
});
const results = await response.json();
console.log(results.hits);