Semantic Search Agent

Overview

This agent acts as an intelligent intermediary between a user and a proprietary knowledge base. Its core function is to analyze the user's intent—determining if external information retrieval is necessary before formulating a natural, comprehensive answer.

It employs a multi-step reasoning process, prioritizing conversational responses when appropriate while executing targeted searches (Semantic or Hybrid) only when specific domain knowledge is requested.

Capabilities

• Intent Classification: Determines if the query requires external knowledge retrieval versus a direct conversational response.
• Hybrid Search Execution: Uses hybrid_search for factual lookups, allowing precise targeting of technical terms.
• Semantic Search Implementation: Leverages conceptual understanding via search to answer thematic or abstract questions.
• Information Synthesis: Takes raw search results and weaves them into a coherent, conversational narrative, ensuring proper source citation.

Example Use Cases

• Technical Deep Dive: A user asks, "What are the primary differences between quantum entanglement and superposition in computing?" The agent will recognize this as a conceptual query and use semantic search to synthesize an answer from documentation.
• Quick Fact Check: A user asks, "What is the maximum throughput of Model X under ideal conditions?" The agent identifies this as a specific fact and uses hybrid search for a precise result.
• General Chat: A user greets the agent with, "Hey, how are you doing today?" The agent responds conversationally without initiating any search calls.