Add MemVecDb.

src/Infrastructure/BotSharp.Abstraction/BotSharp.Abstraction.csproj

@@ -1,4 +1,4 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <TargetFramework>netstandard2.1</TargetFramework>

src/Infrastructure/BotSharp.Abstraction/Knowledges/Models/KnowledgeFeedModel.cs

@@ -3,6 +3,5 @@ namespace BotSharp.Abstraction.Knowledges.Models;
 public class KnowledgeFeedModel
 {
     public string AgentId { get; set; } = string.Empty;
-    public string Name { get; set; } = string.Empty;
     public string Content { get; set; } = string.Empty;
 }

src/Infrastructure/BotSharp.Abstraction/VectorStorage/IVectorDb.cs

@@ -1,4 +1,4 @@
-namespace BotSharp.Abstraction.Knowledges;
+namespace BotSharp.Abstraction.VectorStorage;
 
 public interface IVectorDb
 {

src/Infrastructure/BotSharp.Core/Agents/AgentController.cs

@@ -11,9 +11,11 @@ namespace BotSharp.Core.Agents;
 public class AgentController : ControllerBase, IApiAdapter
 {
     private readonly IAgentService _agentService;
-    public AgentController(IAgentService agentService)
+    private readonly IUserIdentity _user;
+    public AgentController(IAgentService agentService, IUserIdentity user)
     {
         _agentService = agentService;
+        _user = user;
     }
 
     [HttpPost("/agent")]
@@ -23,6 +25,16 @@ public class AgentController : ControllerBase, IApiAdapter
         return AgentViewModel.FromAgent(createdAgent);
     }
 
+    [HttpPut("/agent/{agentId}")]
+    public async Task UpdateAgent([FromRoute] string agentId, 
+        [FromBody] AgentUpdateModel agent)
+    {
+        var model = agent.ToAgent();
+        model.Id = agentId;
+        model.OwerId = _user.Id;
+        await _agentService.UpdateAgent(model);
+    }
+
     [HttpGet("/agents")]
     public async Task<List<AgentViewModel>> GetAgents()
     {

src/Infrastructure/BotSharp.Core/Agents/Services/AgentService.ChatServing.cs

@@ -11,6 +11,6 @@ public partial class AgentService : IChatServiceZone
     /// <returns></returns>
     public async Task Serving(ContentContainer content)
     {
-        
+
     }
 }

src/Infrastructure/BotSharp.Core/Agents/Services/AgentService.UpdateAgent.cs

@@ -6,6 +6,17 @@ public partial class AgentService
 {
     public async Task UpdateAgent(Agent agent)
     {
-        throw new NotImplementedException();
+        var db = _services.GetRequiredService<AgentDbContext>();
+
+        db.Transaction<IAgentTable>(delegate
+        {
+            var record = db.Agent.FirstOrDefault(x => x.OwnerId == agent.OwerId && x.Id == agent.Id);
+
+            record.Name = agent.Name;
+            record.Description = agent.Description;
+            record.Instruction = agent.Instruction;
+            record.Samples = agent.Samples;
+            record.UpdatedDateTime = DateTime.UtcNow;
+        });
     }
 }

src/Infrastructure/BotSharp.Core/Agents/ViewModels/AgentUpdateModel.cs

@@ -1,8 +1,30 @@
+using BotSharp.Abstraction.Agents.Models;
+
 namespace BotSharp.Core.Agents.ViewModels;
 
 public class AgentUpdateModel
 {
-    public string Id { get; set; }
     public string Name { get; set; }
     public string Description { get; set; }
+
+    /// <summary>
+    /// Instruction
+    /// </summary>
+    public string Instruction { get; set; }
+
+    /// <summary>
+    /// Samples
+    /// </summary>
+    public string Samples { get; set; }
+
+    public Agent ToAgent()
+    {
+        return new Agent
+        {
+            Name = Name,
+            Description = Description,
+            Instruction = Instruction,
+            Samples = Samples
+        };
+    }
 }

src/Infrastructure/BotSharp.Core/BotSharp.Core.csproj

@@ -67,7 +67,7 @@
     <PackageReference Include="LLamaSharp" Version="0.3.0" />
     <PackageReference Include="LLamaSharp.Backend.Cuda11" Version="0.3.0" />
     <PackageReference Include="PdfPig" Version="0.1.8" />
-    <PackageReference Include="TensorFlow.Keras" Version="0.10.5" />
+    <PackageReference Include="TensorFlow.Keras" Version="0.11.0" />
     <PackageReference Include="Microsoft.AspNetCore.Mvc.Core" Version="2.2.5" />
   </ItemGroup>
 

src/Infrastructure/BotSharp.Core/BotSharpServiceCollectionExtensions.cs

@@ -17,9 +17,6 @@ public static class BotSharpServiceCollectionExtensions
 
         services.AddScoped<IConversationService, ConversationService>();
 
-        services.AddScoped<ITextChopper, TextChopperService>();
-        services.AddScoped<IKnowledgeService, KnowledgeService>();
-
         services.AddScoped<IContentTransfer, ContentTransfer>();
 
         RegisterRepository(services, config);

src/Infrastructure/BotSharp.Core/Conversations/ViewModels/NewMessageModel.cs

@@ -1,5 +1,3 @@
-using Microsoft.AspNetCore.Mvc;
-
 namespace BotSharp.Core.Conversations.ViewModels;
 
 public class NewMessageModel

src/Infrastructure/BotSharp.Core/Knowledges/KnowledgeBase.cs

@@ -1,24 +0,0 @@
-namespace BotSharp.Core.Knowledges;
-
-public class KnowledgeBase : IVectorDb
-{
-    public Task CreateCollection(string collectionName, int dim)
-    {
-        throw new NotImplementedException();
-    }
-
-    public Task<List<string>> GetCollections()
-    {
-        throw new NotImplementedException();
-    }
-
-    public Task<List<int>> Search(string collectionName, float[] vector, int limit = 10)
-    {
-        throw new NotImplementedException();
-    }
-
-    public Task Upsert(string collectionName, int id, float[] vector)
-    {
-        throw new NotImplementedException();
-    }
-}

src/Infrastructure/BotSharp.Core/Plugins/Knowledges/KnowledgeBasePlugin.cs

@@ -0,0 +1,17 @@
+using BotSharp.Core.Plugins.Knowledges.Services;
+using Microsoft.Extensions.Configuration;
+
+namespace BotSharp.Core.Plugins.Knowledges;
+
+public class KnowledgeBasePlugin : IBotSharpPlugin
+{
+    public void RegisterDI(IServiceCollection services, IConfiguration config)
+    {
+        var settings = new KnowledgeBaseSettings();
+        config.Bind("KnowledgeBase", settings);
+        services.AddSingleton(x => settings);
+
+        services.AddScoped<ITextChopper, TextChopperService>();
+        services.AddScoped<IKnowledgeService, KnowledgeService>();
+    }
+}

src/Infrastructure/BotSharp.Core/Plugins/Knowledges/KnowledgeBaseSettings.cs

@@ -0,0 +1,7 @@
+namespace BotSharp.Core.Plugins.Knowledges;
+
+public class KnowledgeBaseSettings
+{
+    public string VectorDb { get; set; }
+    public string TextEmbedding { get; set; }
+}

src/Infrastructure/BotSharp.Core/Plugins/Knowledges/KnowledgeController.cs

@@ -1,5 +1,4 @@
 using BotSharp.Abstraction.ApiAdapters;
-using BotSharp.Abstraction.Knowledges;
 using BotSharp.Abstraction.Knowledges.Models;
 using Microsoft.AspNetCore.Authorization;
 using Microsoft.AspNetCore.Http;
@@ -8,7 +7,7 @@ using System.IO;
 using UglyToad.PdfPig.Content;
 using UglyToad.PdfPig;
 
-namespace BotSharp.Core.Knowledges;
+namespace BotSharp.Core.Plugins.Knowledges;
 
 [Authorize]
 [ApiController]
@@ -31,7 +30,7 @@ public class KnowledgeController : ControllerBase, IApiAdapter
     }
 
     [HttpPost("/knowledge/{agentId}")]
-    public async Task<IActionResult> FeedKnowledge([FromRoute] string agentId, [FromForm] string name, List<IFormFile> files)
+    public async Task<IActionResult> FeedKnowledge([FromRoute] string agentId, List<IFormFile> files)
     {
         long size = files.Sum(f => f.Length);
 
@@ -62,7 +61,6 @@ public class KnowledgeController : ControllerBase, IApiAdapter
             await _knowledgeService.Feed(new KnowledgeFeedModel
             {
                 AgentId = agentId,
-                Name = name,
                 Content = content
             });
         }

src/Infrastructure/BotSharp.Core/Plugins/Knowledges/Services/KnowledgeService.cs

@@ -1,25 +1,26 @@
 using BotSharp.Abstraction.Knowledges.Models;
 using System.IO;
 using BotSharp.Abstraction.MLTasks;
+using BotSharp.Abstraction.VectorStorage;
 
-namespace BotSharp.Core.Knowledges.Services;
+namespace BotSharp.Core.Plugins.Knowledges.Services;
 
 public class KnowledgeService : IKnowledgeService
 {
-    private readonly ITextEmbedding _textEmbedding;
+    private readonly IServiceProvider _services;
+    private readonly KnowledgeBaseSettings _settings;
     private readonly ITextCompletion _textCompletion;
     private readonly ITextChopper _textChopper;
-    private readonly IVectorDb _db;
-    
-    public KnowledgeService(ITextEmbedding textEmbedding, 
-        ITextCompletion textCompletion, 
-        ITextChopper textChopper,
-        IVectorDb db)
+
+    public KnowledgeService(IServiceProvider services,
+        KnowledgeBaseSettings settings,
+        ITextCompletion textCompletion,
+        ITextChopper textChopper)
     {
-        _textEmbedding = textEmbedding;
+        _services = services;
+        _settings = settings;
         _textCompletion = textCompletion;
         _textChopper = textChopper;
-        _db = db;
     }
 
     public async Task Feed(KnowledgeFeedModel knowledge)
@@ -33,25 +34,30 @@ public class KnowledgeService : IKnowledgeService
 
         // Store chunks in local file system
         var knowledgeStoreDir = Path.Combine("knowledge_chunks", knowledge.AgentId);
-        if(!Directory.Exists(knowledgeStoreDir))
+        if (!Directory.Exists(knowledgeStoreDir))
         {
             Directory.CreateDirectory(knowledgeStoreDir);
         }
 
-        var knowledgePath = Path.Combine(knowledgeStoreDir, knowledge.Name);
+        var knowledgePath = Path.Combine(knowledgeStoreDir, "chuncks");
         File.WriteAllLines(knowledgePath + ".txt", lines);
 
-        await _db.CreateCollection(knowledge.Name, _textEmbedding.Dimension);
+        var db = GetVectorDb();
+        var textEmbedding = GetTextEmbedding();
+
+        await db.CreateCollection(knowledge.AgentId, textEmbedding.Dimension);
         foreach (var line in lines)
         {
-            await _db.Upsert(knowledge.Name, idStart, _textEmbedding.GetVector(line));
+            var vec = textEmbedding.GetVector(line);
+            await db.Upsert(knowledge.AgentId, idStart, vec);
             idStart++;
         }
     }
 
     public async Task<string> GetAnswer(KnowledgeRetrievalModel retrievalModel)
     {
-        var vector = _textEmbedding.GetVector(retrievalModel.Question);
+        var textEmbedding = GetTextEmbedding();
+        var vector = textEmbedding.GetVector(retrievalModel.Question);
 
         // Scan local knowledge directory
         var knowledgeName = "";
@@ -64,7 +70,7 @@ public class KnowledgeService : IKnowledgeService
         }
 
         // Vector search
-        var result = await _db.Search(knowledgeName, vector);
+        var result = await GetVectorDb().Search(knowledgeName, vector);
 
         // Restore 
         var prompt = "";
@@ -80,4 +86,18 @@ public class KnowledgeService : IKnowledgeService
         var completion = await _textCompletion.GetCompletion(prompt);
         return completion;
     }
+
+    public IVectorDb GetVectorDb()
+    {
+        var db = _services.GetServices<IVectorDb>()
+            .FirstOrDefault(x => x.GetType().Name == _settings.VectorDb);
+        return db;
+    }
+
+    public ITextEmbedding GetTextEmbedding()
+    {
+        var embedding = _services.GetServices<ITextEmbedding>()
+            .FirstOrDefault(x => x.GetType().Name == _settings.TextEmbedding);
+        return embedding;
+    }
 }

src/Infrastructure/BotSharp.Core/Plugins/Knowledges/Services/TextChopperService.cs

@@ -1,6 +1,6 @@
 using BotSharp.Abstraction.Knowledges.Models;
 
-namespace BotSharp.Core.Knowledges.Services;
+namespace BotSharp.Core.Plugins.Knowledges.Services;
 
 public class TextChopperService : ITextChopper
 {
@@ -10,8 +10,8 @@ public class TextChopperService : ITextChopper
         var currentPos = 0;
         while (currentPos < content.Length)
         {
-            var len = content.Length - currentPos > option.Size ? 
-                option.Size : 
+            var len = content.Length - currentPos > option.Size ?
+                option.Size :
                 content.Length - currentPos;
             var chunk = content.Substring(currentPos, len);
             chunks.Add(chunk);

src/Infrastructure/BotSharp.Core/Plugins/LLamaSharp/ChatCompletionProvider.cs

@@ -1,7 +1,7 @@
 using LLama;
 using System.IO;
 
-namespace BotSharp.Plugins.LLamaSharp;
+namespace BotSharp.Core.Plugins.LLamaSharp;
 
 public class ChatCompletionProvider : IChatServiceZone
 {

src/Infrastructure/BotSharp.Core/Plugins/LLamaSharp/LLamaSharpPlugin.cs

@@ -1,6 +1,6 @@
 using Microsoft.Extensions.Configuration;
 
-namespace BotSharp.Plugins.LLamaSharp;
+namespace BotSharp.Core.Plugins.LLamaSharp;
 
 public class LLamaSharpPlugin : IBotSharpPlugin
 {

src/Infrastructure/BotSharp.Core/Plugins/LLamaSharp/LlamaSharpSettings.cs

@@ -1,4 +1,4 @@
-namespace BotSharp.Plugins.LLamaSharp;
+namespace BotSharp.Core.Plugins.LLamaSharp;
 
 public class LlamaSharpSettings
 {

src/Infrastructure/BotSharp.Core/Plugins/MemVecDb/MemVecDbPlugin.cs

@@ -0,0 +1,12 @@
+using BotSharp.Abstraction.VectorStorage;
+using Microsoft.Extensions.Configuration;
+
+namespace BotSharp.Core.Plugins.MemVecDb;
+
+public class MemVecDbPlugin : IBotSharpPlugin
+{
+    public void RegisterDI(IServiceCollection services, IConfiguration config)
+    {
+        services.AddSingleton<IVectorDb, MemVectorDatabase>();
+    }
+}

src/Infrastructure/BotSharp.Core/Plugins/MemVecDb/MemVectorDatabase.cs

@@ -0,0 +1,36 @@
+using BotSharp.Abstraction.VectorStorage;
+
+namespace BotSharp.Core.Plugins.MemVecDb;
+
+public class MemVectorDatabase : IVectorDb
+{
+    private readonly Dictionary<string, int> _collections = new Dictionary<string, int>();
+    private readonly Dictionary<string, List<VecRecord>> _vectors = new Dictionary<string, List<VecRecord>>();
+    public Task CreateCollection(string collectionName, int dim)
+    {
+        _collections[collectionName] = dim;
+        _vectors[collectionName] = new List<VecRecord>();
+        return Task.CompletedTask;
+    }
+
+    public Task<List<string>> GetCollections()
+    {
+        return Task.FromResult(_collections.Select(x => x.Key).ToList());
+    }
+
+    public Task<List<int>> Search(string collectionName, float[] vector, int limit = 10)
+    {
+        throw new NotImplementedException();
+    }
+
+    public Task Upsert(string collectionName, int id, float[] vector)
+    {
+        _vectors[collectionName].Add(new VecRecord
+        {
+            Id = id,
+            Vector = vector
+        });
+
+        return Task.CompletedTask;
+    }
+}

src/Infrastructure/BotSharp.Core/Plugins/MemVecDb/VecRecord.cs

@@ -0,0 +1,8 @@
+namespace BotSharp.Core.Plugins.MemVecDb;
+
+public class VecRecord
+{
+    public int Id { get; set; }
+    public float[] Vector { get; set; }
+    public string Text { get; set; }
+}

src/Infrastructure/BotSharp.Core/Repository/DbTables/AgentRecord.cs

@@ -11,13 +11,25 @@ public class AgentRecord : DbRecord, IAgentTable
     [MaxLength(64)]
     public string Name { get; set; } = string.Empty;
 
-    [MaxLength(512)]
-    public string? Description { get; set; }
-
     [Required]
     [MaxLength(36)]
     public string OwnerId { get; set; } = string.Empty;
 
+    [MaxLength(512)]
+    public string Description { get; set; }
+
+    /// <summary>
+    /// Instruction
+    /// </summary>
+    [StringLength(int.MaxValue)]
+    public string Instruction { get; set; }
+
+    /// <summary>
+    /// Samples
+    /// </summary>
+    [StringLength(int.MaxValue)]
+    public string Samples { get; set; }
+
     [Required]
     public DateTime CreatedDateTime { get; set; }
 

src/Infrastructure/BotSharp.Core/Using.cs

@@ -19,6 +19,5 @@ global using BotSharp.Core.Repository.DbTables;
 global using BotSharp.Core.Agents.Services;
 global using BotSharp.Core.Conversations.Services;
 global using BotSharp.Core.Infrastructures;
-global using BotSharp.Core.Knowledges.Services;
 global using BotSharp.Core.Plugins;
 global using BotSharp.Core.Users.Services;

src/Plugins/BotSharp.Plugin.AzureOpenAI/AzureOpenAiPlugin.cs

@@ -19,6 +19,6 @@ public class AzureOpenAiPlugin : IBotSharpPlugin
 
         services.AddSingleton<ITextCompletion, TextCompletionProvider>();
         services.AddScoped<IChatCompletion, ChatCompletionProvider>();
-        services.AddScoped<IChatServiceZone, ChatCompletionService>();
+        services.AddScoped<IChatServiceZone, ChatService>();
     }
 }

src/Plugins/BotSharp.Plugin.AzureOpenAI/Services/ChatService.cs

@@ -7,11 +7,11 @@ using System.Threading.Tasks;
 
 namespace BotSharp.Plugin.AzureOpenAI.Services;
 
-public class ChatCompletionService : IChatServiceZone
+public class ChatService : IChatServiceZone
 {
     private readonly IChatCompletion _chatCompletion;
 
-    public ChatCompletionService(IChatCompletion chatCompletion)
+    public ChatService(IChatCompletion chatCompletion)
     {
         _chatCompletion = chatCompletion;
     }

src/Plugins/BotSharp.Plugin.MetaAI/MetaAiPlugin.cs

@@ -1,6 +1,6 @@
-using BotSharp.Abstraction.Knowledges;
 using BotSharp.Abstraction.MLTasks;
 using BotSharp.Abstraction.Plugins;
+using BotSharp.Abstraction.VectorStorage;
 using BotSharp.Plugin.MetaAI.Providers;
 using BotSharp.Plugin.MetaAI.Settings;
 using Microsoft.Extensions.Configuration;

src/Plugins/BotSharp.Plugin.MetaAI/Providers/FaissDb.cs

@@ -1,4 +1,4 @@
-using BotSharp.Abstraction.Knowledges;
+using BotSharp.Abstraction.VectorStorage;
 using System;
 using System.Collections.Generic;
 using System.Threading.Tasks;

src/Plugins/BotSharp.Plugin.MetaAI/Providers/fastTextEmbeddingProvider.cs

@@ -10,7 +10,17 @@ public class fastTextEmbeddingProvider : ITextEmbedding
     private FastTextWrapper _fastText;
     private readonly fastTextSetting _settings;
 
-    public int Dimension => _fastText.GetModelDimension();
+    public int Dimension
+    {
+        get
+        {
+            if (!_fastText.IsModelReady())
+            {
+                _fastText.LoadModel(_settings.ModelPath);
+            }
+            return _fastText.GetModelDimension();
+        }
+    }
 
     public fastTextEmbeddingProvider(fastTextSetting settings)
     {
@@ -21,15 +31,15 @@ public class fastTextEmbeddingProvider : ITextEmbedding
         {
             throw new FileNotFoundException($"Can't load pre-trained word vectors from {settings.ModelPath}.\n Try to download from https://fasttext.cc/docs/en/english-vectors.html.");
         }
-
-        if (!_fastText.IsModelReady())
-        {
-            _fastText.LoadModel(_settings.ModelPath);
-        }
     }
 
     public float[] GetVector(string text)
     {
+        if (!_fastText.IsModelReady())
+        {
+            _fastText.LoadModel(_settings.ModelPath);
+        }
+
         return _fastText.GetSentenceVector(text);
     }
 }

src/Plugins/BotSharp.Plugin.Qdrant/QdrantDb.cs

@@ -1,4 +1,4 @@
-using BotSharp.Abstraction.Knowledges;
+using BotSharp.Abstraction.VectorStorage;
 using QdrantCSharp;
 using QdrantCSharp.Enums;
 using QdrantCSharp.Models;

src/Plugins/BotSharp.Plugin.Qdrant/QdrantPlugin.cs

@@ -1,5 +1,5 @@
-using BotSharp.Abstraction.Knowledges;
 using BotSharp.Abstraction.Plugins;
+using BotSharp.Abstraction.VectorStorage;
 using Microsoft.Extensions.Configuration;
 using Microsoft.Extensions.DependencyInjection;
 

src/WebStarter/appsettings.json

@@ -14,7 +14,7 @@
   },
 
   "Conversation": {
-    
+
   },
 
   "LlamaSharp": {
@@ -60,6 +60,10 @@
     "ApiKey": ""
   },
 
+  "KnowledgeBase": {
+    "VectorDb": "MemVecDbProvider"
+  },
+
   "PluginLoader": {
     "Assemblies": [
       "BotSharp.Core",
@@ -69,6 +73,8 @@
       "BotSharp.Plugin.PaddleSharp"
     ],
     "Plugins": [
+      "KnowledgeBasePlugin",
+      "MemVecDbPlugin",
       // "LLamaSharpPlugin",
       "AzureOpenAiPlugin",
       "MetaAiPlugin",