[KongchangAI]
Product

VoyageEmbedder

A text embedding service provided by Voyage AI that generates semantic vectors to support semantic retrieval, usable as an optional vectorization component in RAG systems.

Timeline (last 90 days)

Oct 18

DSupport's RAG implementation splits articles by paragraph, uses TF-IDF for word-weight vectorization, optionally integrates VoyageEmbedder for semantic retrieval, and uses a relevance cutoff of minScore = 0.25 in SearchKbTool.

Unverified50%

All Facts (1)

Unverified

DSupport's RAG implementation splits articles by paragraph, uses TF-IDF for word-weight vectorization, optionally integrates VoyageEmbedder for semantic retrieval, and uses a relevance cutoff of minScore = 0.25 in SearchKbTool.

50%

Source Articles

Hand-Building an AI Customer Service Agent in Kotlin: Engineering Practices for RAG, MCP, and Multi-Agent SystemsOct 18