Package org.snmp4j.mcp.tool.mib.semantic

package org.snmp4j.mcp.tool.mib.semantic

Class	Description
EmbeddingClient	Pluggable backend that converts text into dense floating-point vectors.
McpMibSemanticSearch	MCP tool that performs semantic (vector-similarity) search over all MIB objects currently loaded in the server's SmiManager.
MibChunkFormatter	Converts a SmiObject into one or more plain-text chunks suitable for embedding.
MibEmbeddingIndex	In-memory vector index over MIB objects with cosine-similarity search and optional GZIP'd JSON persistence.
MibEmbeddingIndex.IndexEntry	Metadata stored for each indexed chunk.
MibEmbeddingIndex.SearchResult	A single search hit with its cosine-similarity score.
OnnxEmbeddingClient	An EmbeddingClient that runs sentence-transformers/all-MiniLM-L6-v2 locally via ONNX Runtime — no external API or internet connection required after the model files have been downloaded and cached on first use (~23 MB, quantized).
OpenAiEmbeddingClient	EmbeddingClient that calls the OpenAI Embeddings API (POST https://api.openai.com/v1/embeddings).
OpenAiEmbeddingClient.Builder	Fluent builder for OpenAiEmbeddingClient.