𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝘀𝗲𝗮𝗿𝗰𝗵 𝗶𝘀𝗻'𝘁 𝗮𝗹𝘄𝗮𝘆𝘀 𝗲𝗻𝗼𝘂𝗴𝗵.

While working on an AI bot, I noticed that some customer questions were still being missed, even though semantic search was performing well.

The solution was surprisingly simple.

I combined semantic search with text-based similarity search.

Result:

• Better answer coverage

• Fewer missed queries

• More reliable responses

• Better customer experience

A good reminder that improving AI systems is not always about using bigger models. Sometimes it's about combining the right techniques.

𝘏𝘢𝘷𝘦 𝘺𝘰𝘶 𝘶𝘴𝘦𝘥 𝘢 𝘴𝘪𝘮𝘱𝘭𝘦 𝘴𝘰𝘭𝘶𝘵𝘪𝘰𝘯 𝘵𝘩𝘢𝘵 𝘮𝘢𝘥𝘦 𝘢 𝘴𝘪𝘨𝘯𝘪𝘧𝘪𝘤𝘢𝘯𝘵 𝘪𝘮𝘱𝘢𝘤𝘵 𝘰𝘯 𝘢𝘯 𝘈𝘐 𝘴𝘺𝘴𝘵𝘦𝘮?

#AI #VoiceAI #GenerativeAI #RAG #SemanticSearch #SoftwareEngineering #MachineLearning #TechLeadership #Innovation #CustomerExperience