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LangChain.Databases/src/Chroma/src/ChromaVectorCollection.cs
Line 85 in 709070b
using System.Text.Json; using System.Text.Json.Serialization; using LangChain.Databases.JsonConverters; using Microsoft.SemanticKernel.Connectors.Chroma; using Microsoft.SemanticKernel.Memory; namespace LangChain.Databases.Chroma; /// <summary> /// ChromaDB vector collection. /// According: https://api.python.langchain.com/en/latest/_modules/langchain/vectorstores/chroma.html /// </summary> public class ChromaVectorCollection( ChromaMemoryStore store, string name = VectorCollection.DefaultName, string? id = null) : VectorCollection(name, id), IVectorCollection { // TODO: SemanticKernel impl doesn't support collection metadata. Need changes when moved to another impl //private Dictionary<string, string> CollectionMetadata { get; } = []; /// <inheritdoc /> public async Task<Vector?> GetAsync(string id, CancellationToken cancellationToken = default) { var record = await store.GetAsync(Name, id, withEmbedding: true, cancellationToken: cancellationToken).ConfigureAwait(false); if (record == null) { return null; } var text = record.Metadata.Text; var metadata = DeserializeMetadata(record.Metadata); return new Vector { Text = text, Metadata = metadata, }; } /// <inheritdoc /> public async Task<bool> DeleteAsync( IEnumerable<string> ids, CancellationToken cancellationToken = default) { await store.RemoveBatchAsync(Name, ids, cancellationToken).ConfigureAwait(false); return true; } private static float SelectRelevanceScoreFn(float distance) { //const string distanceKey = "hnsw:space"; var distanceType = "l2"; //if (CollectionMetadata.TryGetValue(distanceKey, out var value)) //{ // distanceType = value; //} return distanceType switch { "cosine" => RelevanceScoreFunctions.Cosine(distance), "l2" => RelevanceScoreFunctions.Euclidean(distance), "ip" => RelevanceScoreFunctions.MaxInnerProduct(distance), _ => throw new ArgumentException( $@"No supported normalization function for distance metric of type: {distanceType}. Consider providing relevance_score_fn to Chroma constructor.") }; } /// <inheritdoc /> public async Task<IReadOnlyCollection<string>> AddAsync( IReadOnlyCollection<Vector> items, CancellationToken cancellationToken = default) { items = items ?? throw new ArgumentNullException(nameof(items)); var records = new MemoryRecord[items.Count]; for (var index = 0; index < items.Count; index++) { var item = items.ElementAt(index); // TODO: check: description, externalSourceName, key records[index] = new MemoryRecord ( new MemoryRecordMetadata ( isReference: false, id: item.Id, text: item.Text, description: string.Empty, externalSourceName: string.Empty, additionalMetadata: SerializeMetadata(item.Metadata ?? new Dictionary<string, object>()) ), new ReadOnlyMemory<float>(item.Embedding ?? []), key: null ); } var resultIds = new List<string>(items.Count); var resultIdsIterator = store.UpsertBatchAsync(Name, records, cancellationToken); await foreach (var item in resultIdsIterator.ConfigureAwait(false)) { resultIds.Add(item); } return resultIds; } /// <inheritdoc /> public async Task<VectorSearchResponse> SearchAsync( VectorSearchRequest request, VectorSearchSettings? settings = default, CancellationToken cancellationToken = default) { request = request ?? throw new ArgumentNullException(nameof(request)); settings ??= new VectorSearchSettings(); settings.RelevanceScoreFunc ??= SelectRelevanceScoreFn; var matches = await store .GetNearestMatchesAsync( collectionName: Name, embedding: new System.ReadOnlyMemory<float>(request.Embeddings.First()), limit: settings.NumberOfResults, cancellationToken: cancellationToken) .ToListAsync(cancellationToken) .ConfigureAwait(false); return new VectorSearchResponse { Items = matches .Select(record => { var text = record.Item1.Metadata.Text; var metadata = DeserializeMetadata(record.Item1.Metadata); return new Vector { Id = record.Item1.Metadata.Id, Text = text, Metadata = metadata, Embedding = record.Item1.Embedding.ToArray(), Distance = (float)record.Item2 }; }) .ToArray(), }; } /// <inheritdoc /> public Task<bool> IsEmptyAsync(CancellationToken cancellationToken = default) { throw new NotImplementedException(); } private static string SerializeMetadata(IReadOnlyDictionary<string, object> metadata) { return JsonSerializer.Serialize(metadata, SourceGenerationContext.Default.IReadOnlyDictionaryStringObject); } private static IReadOnlyDictionary<string, object> DeserializeMetadata(MemoryRecordMetadata metadata) { return JsonSerializer.Deserialize(metadata.AdditionalMetadata, SourceGenerationContext.Default.IReadOnlyDictionaryStringObject) ?? new Dictionary<string, object>(); } } [JsonSourceGenerationOptions(Converters = [typeof(ObjectAsPrimitiveConverter)])] [JsonSerializable(typeof(IReadOnlyDictionary<string, object>))] [JsonSerializable(typeof(double))] [JsonSerializable(typeof(float))] [JsonSerializable(typeof(int))] [JsonSerializable(typeof(decimal))] internal sealed partial class SourceGenerationContext : JsonSerializerContext;
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LangChain.Databases/src/Chroma/src/ChromaVectorCollection.cs
Line 85 in 709070b
The text was updated successfully, but these errors were encountered: