using SlidingRank.FastOps;

using System;

using System.Threading.Tasks;

using VectorRAG.Net;

internal static class Program

{

private static async Task Main()

{

// Deterministic local embedding model (no OpenAI key required)

IEmbeddingModel model = new HashEmbeddingModel(dimension: 64);

var lsh = new EmbeddingLshConfig(

Bands: 12,

BitsPerBand: 8,

MaxCandidates: 1024,

Seed: 1337);

var dbOptions = new VectorRagDatabaseOptions

{

InitialCapacity = 2048,

QueryCacheCapacity = 256,

NormalizeVectorsOnAdd = true,

NormalizeQueryOnSearch = true,

DefaultChunking = new ChunkingOptions

{

Strategy = ChunkingStrategy.FixedChars,

ChunkSize = 300,

ChunkOverlap = 50

}

};

var db = new VectorRAGDatabase(dimension: model.Dimension, lshConfig: lsh, options: dbOptions);

await db.UpsertTextDocumentAsync(

externalId: "doc:password_reset",

text: "To reset your password,go to Settings -> Security -> Reset Password. " +

"You will receive a confirmation code via email.",

metadata: new DocumentMetadata { Department = "Support", IsActive = true, Source = "kb" },

embeddingModel: model);

await db.UpsertTextDocumentAsync(

externalId: "doc:pricing_business",

text: "Business pricing depends on monthly turnover. Contact Sales for a quote. " +

"Discounts are available for enterprise customers.",

metadata: new DocumentMetadata { Department = "Sales", IsActive = true, Source = "kb" },

embeddingModel: model);

var query = "How can I reset my password?";

var qVec = await model.GenerateEmbeddingAsync(query);

var results = db.Search(qVec, new SearchOptions

{

TopK = 5,

UseHybrid = true,

TextQuery = query,

Alpha = 0.7f,

Filter = md => md.IsActive && md.Department == "Support",

GroupByParentDocument = true

});

Console.WriteLine($"Query:{query}");

foreach (var r in results)

{

Console.WriteLine($"- {r.ExternalId} score={r.Score:0.000} evidenceChunk={r.EvidenceChunkIndex}");

Console.WriteLine($" Evidence:{Trim(r.EvidenceText, 140)}");

}

// Persistence demo

var snap = System.IO.Path.Combine(System.IO.Path.GetTempPath(), "VectorRAG.Net.sample.snapshot");

await db.SaveAsync(snap);

await db.LoadAsync(snap);

var m = db.GetMetrics();

Console.WriteLine($"Metrics:active={m.RecordsActive}/{m.RecordsTotal},queries={m.QueriesTotal},avg={m.AvgQueryMs:0.00}ms");

}

private static string Trim(string? s, int max)

{

if (string.IsNullOrEmpty(s)) return "";

if (s.Length <= max) return s;

return s.Substring(0, max) + "...";

}

}