Vector Index: FreshVamana

[akade]

Adds support for approximate nearest neighbor search for high dimensional data based on FreshVamana

[Copilot]

Pull Request Overview

This PR introduces a vector index feature using FreshVamana algorithm for approximate nearest neighbor (ANN) searches on .NET 9.0+. The implementation adds support for semantic/vector search capabilities with ReadOnlySpan embeddings.

Key changes:

• Implements FreshVamana algorithm for approximate nearest neighbor search
• Adds vector index support with NET9_0_OR_GREATER compiler directives
• Provides semantic search functionality for embedding-based queries

Reviewed Changes

Copilot reviewed 24 out of 28 changed files in this pull request and generated 8 comments.

Show a summary per file

File	Description
Akade.IndexedSet/Indices/VectorIndex.cs	New vector index implementation using FreshVamana graph
Akade.IndexedSet/DataStructures/FreshVamana/*.cs	Core FreshVamana algorithm implementation with graph, settings, and node classes
Akade.IndexedSet/IndexedSetBuilder.cs	Added WithVectorIndex method and spelling corrections
Akade.IndexedSet/IndexedSet.cs	Added ApproximateNearestNeighbors method with NET9+ constraints
SourceGenerator/*/ConcurrentSetSourceGenerator.cs	Enhanced to handle NET version compiler directives
Akade.IndexedSet.Tests/Samples/Search/SemanticSearch.cs	Sample implementation using semantic search with embeddings

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[Copilot]

Pull Request Overview

Copilot reviewed 27 out of 31 changed files in this pull request and generated 6 comments.

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[Copilot]

Pull Request Overview

Copilot reviewed 27 out of 31 changed files in this pull request and generated 1 comment.

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