𝗦𝗺𝗮𝗿𝘁 𝗦𝗲𝗮𝗿𝗰𝗵 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴

𝗦𝗺𝗮𝗿𝘁 𝗦𝗲𝗮𝗿𝗰𝗵 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴

I built a doc site. Users wanted search with understanding. Keyword search failed. It missed meanings. "Login fails" did not find "authentication failure."

I tried several things.

• Synonyms took too much time.
• NLP libraries were too large.
• Local embeddings needed GPUs.

I used an AI API instead. Here is the process:

• Split docs into small chunks.
• Send the query to an AI API.
• Use a prompt to find the best chunk.
• Return the result.

You do not need fine-tuning. A good prompt and small doc set work for most tools.

Results:

• Support tickets dropped 30%.
• Users found answers faster.

Tips for you:

• Cache common queries for 24 hours.
• Use streaming for speed.
• Mix keyword search with AI.

Trade-offs:

• Latency is 300ms to 1500ms.
• External APIs have privacy risks.
• Offline use is impossible.

I did not become an ML engineer. I used an API and a prompt.

What is your setup? Tell me what worked for you.

Source: https://dev.to/__c1b9e06dc90a7e0a676b/i-needed-a-smart-search-so-i-called-an-ai-api-no-model-training-2aen Optional learning community: https://t.me/GyaanSetuAi