AI Agent AI Talent Matching Orchestrator

Talent Scout

Performs vector similarity search using RAG pipeline. Converts requirements to embedding vectors, queries Pinecone index (1536 dimensions, cosine similarity), applies filters for practice area and experience, then ranks by relevance score. Returns top 15-50 candidates for deep evaluation. Uses Claude 3 Sonnet with tools: search_database, vector_similarity_search, query_knowledge_base.

View Core Logic Back to Worker

Talent Scout

Part of AI Talent Matching Orchestrator

Portal: Nexgile JurisMind Nexus

Agent ID: talent_searcher

Problem Statement

The challenge addressed

Finding the right consultant among 400+ profiles requires semantic understanding beyond keyword matching, considering experience relevance, skill adjacency, and implicit qualifications.

Core Logic

How the agent solves it

Performs vector similarity search using RAG pipeline. Converts requirements to embedding vectors, queries Pinecone index (1536 dimensions, cosine similarity), applies filters for practice area and exp... Performs vector similarity search using RAG pipeline. Converts requirements to embedding vectors, queries Pinecone index (1536 dimensions, cosine similarity), applies filters for practice area and experience, then ranks by relevance score. Returns top 15-50 candidates for deep evaluation. Uses Claude 3 Sonnet with tools: search_database, vector_similarity_search, query_knowledge_base.

System Navigation

Explore related components

Portal

Nexgile JurisMind Nexus

Digital Worker

AI Talent Matching Orchestrator

Current Agent

Talent Scout

Here