Package com.tnsai.intelligence.rag

Class VectorRAGStrategy

java.lang.Object

com.tnsai.intelligence.rag.VectorRAGStrategy

All Implemented Interfaces:

RAGStrategy

public final class VectorRAGStrategy
extends Object
implements RAGStrategy

RAG strategy that uses embedding-based semantic similarity search.

Delegates to VectorMemoryStore from tnsai-core's advanced memory module. Results are converted to RetrievedDocument instances and filtered by the RAGContext.minScore() threshold and exact RAGContext.metadataFilters() matches.

Since:

0.2.4

Constructor Summary

Constructors

Constructor	Description
VectorRAGStrategy(com.tnsai.memory.advanced.VectorMemoryStore vectorStore)	Creates a vector RAG strategy backed by the given store.

Method Summary

Modifier and Type	Method	Description
String	name()	Returns the unique name of this strategy (e.g., "vector", "keyword", "hybrid").
List<RetrievedDocument>	retrieve(String query, RAGContext context)	Retrieves documents relevant to the given query.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

VectorRAGStrategy

public VectorRAGStrategy(com.tnsai.memory.advanced.VectorMemoryStore vectorStore)

Creates a vector RAG strategy backed by the given store.

Parameters:

vectorStore - the vector memory store to search

Method Details

name

public String name()

Description copied from interface: RAGStrategy

Returns the unique name of this strategy (e.g., "vector", "keyword", "hybrid").

Names are compared case-insensitively using Locale.ROOT.

Specified by:

name in interface RAGStrategy

Returns:

the strategy name, never null

retrieve

public List<RetrievedDocument> retrieve(String query,
 RAGContext context)

Description copied from interface: RAGStrategy

Retrieves documents relevant to the given query.

Every returned document must exactly match all metadata filters in the context. Implementations apply that constraint before limiting the result to RAGContext.maxResults().

Specified by:

retrieve in interface RAGStrategy

Parameters:

query - the search query (never null)

context - retrieval parameters (max results, min score, exact metadata filters)

Returns:

an unmodifiable list of retrieved documents, sorted by descending relevance