feat: more broad similarity changes

backend/agents/client/embeddings.go

@@ -0,0 +1,102 @@
+package client
+
+import (
+	"bytes"
+	"encoding/json"
+	"errors"
+	"io"
+	"net/http"
+	"os"
+)
+
+type EmbeddingsClient struct {
+	url    string
+	apiKey string
+
+	Do func(req *http.Request) (*http.Response, error)
+}
+
+type EmbeddingsRequest struct {
+	Model string `json:"model"`
+	Input string `json:"input"`
+}
+
+type EmbeddingsData struct {
+	Object     string    `json:"object"`
+	Index      int       `json:"index"`
+	Embeddings []float64 `json:"embedding"`
+}
+
+type EmbeddingsResponse struct {
+	Object string           `json:"object"`
+	Data   []EmbeddingsData `json:"data"`
+}
+
+func CreateEmbeddingsClient() EmbeddingsClient {
+	apiKey := os.Getenv(OPENAI_API_KEY)
+
+	if len(apiKey) == 0 {
+		panic("No api key")
+	}
+
+	return EmbeddingsClient{
+		apiKey: apiKey,
+		url:    "https://api.openai.com/v1/embeddings",
+		Do: func(req *http.Request) (*http.Response, error) {
+			client := &http.Client{}
+			return client.Do(req)
+		},
+	}
+}
+
+func (client EmbeddingsClient) getRequest(text string) (*http.Request, error) {
+	embeddingsReq := EmbeddingsRequest{
+		Model: "text-embedding-3-large",
+		Input: text,
+	}
+
+	jsonEmbeddingsBody, err := json.Marshal(embeddingsReq)
+	if err != nil {
+		return nil, err
+	}
+
+	req, err := http.NewRequest("POST", client.url, bytes.NewBuffer(jsonEmbeddingsBody))
+	if err != nil {
+		return req, err
+	}
+
+	req.Header.Add("Authorization", "Bearer "+client.apiKey)
+	req.Header.Add("Content-Type", "application/json")
+
+	return req, nil
+}
+
+func (client EmbeddingsClient) Request(text string) (EmbeddingsData, error) {
+	httpRequest, err := client.getRequest(text)
+	if err != nil {
+		return EmbeddingsData{}, err
+	}
+
+	resp, err := client.Do(httpRequest)
+	if err != nil {
+		return EmbeddingsData{}, err
+	}
+
+	response, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return EmbeddingsData{}, err
+	}
+
+	embeddingsResponse := EmbeddingsResponse{}
+	err = json.Unmarshal(response, &embeddingsResponse)
+
+	if err != nil {
+		return EmbeddingsData{}, err
+	}
+
+	if len(embeddingsResponse.Data) != 1 {
+		return EmbeddingsData{}, errors.New("Unsupported. We currently only accept 1 choice from AI.")
+	}
+
+	return embeddingsResponse.Data[0], nil
+}

backend/agents/embeddings_agent.go

@@ -0,0 +1,68 @@
+package agents
+
+import (
+	"context"
+	"screenmark/screenmark/agents/client"
+	"screenmark/screenmark/models"
+
+	"github.com/charmbracelet/log"
+	"github.com/google/uuid"
+)
+
+const embeddingsAgentPropmt = `
+You are an agent who's job it is to describe the contents of an image.
+This description should be detailed as it will be used to create embeddings from the image.
+You should focus more on the content of the image, rather than it's appearence.
+`
+
+type EmbeddingAgent struct {
+	embeddings client.EmbeddingsClient
+
+	client client.AgentClient
+
+	imageModel models.ImageModel
+
+	log *log.Logger
+}
+
+func (agent EmbeddingAgent) GetEmbeddings(userId uuid.UUID, imageId uuid.UUID, imageName string, imageData []byte) error {
+	request := client.AgentRequestBody{
+		Model:       "gpt-4.1-mini",
+		Temperature: 0.3,
+		ResponseFormat: client.ResponseFormat{
+			Type: "text",
+		},
+		Chat: &client.Chat{
+			Messages: make([]client.ChatMessage, 0),
+		},
+	}
+
+	request.Chat.AddSystem(embeddingsAgentPropmt)
+	request.Chat.AddImage(imageName, imageData, nil)
+
+	resp, err := agent.client.Request(&request)
+	if err != nil {
+		return err
+	}
+
+	description := resp.Choices[0].Message.Content
+	log.Info(description)
+
+	embeddings, err := agent.embeddings.Request(description)
+	if err != nil {
+		return err
+	}
+
+	return agent.imageModel.UpdateEmbedding(context.Background(), imageId, embeddings.Embeddings)
+}
+
+func NewEmbeddingsAgent(log *log.Logger, imageModel models.ImageModel) EmbeddingAgent {
+	return EmbeddingAgent{
+		client: client.CreateAgentClient(client.CreateAgentClientOptions{
+			SystemPrompt: embeddingsAgentPropmt,
+			Log:          log,
+		}),
+		embeddings: client.CreateEmbeddingsClient(),
+		imageModel: imageModel,
+	}
+}

backend/events.go

@@ -67,11 +67,19 @@ func ListenNewImageEvents(db *sql.DB, notifier *Notifier[Notification]) {
 				locationAgent := agents.NewLocationAgent(createLogger("Locations 📍", splitWriter), locationModel)
 				eventAgent := agents.NewEventAgent(createLogger("Events 📅", splitWriter), eventModel, locationModel)
 
+				embeddings := agents.NewEmbeddingsAgent(createLogger("Embeddings 📊", splitWriter), imageModel)
+
 				if err := imageModel.StartProcessing(ctx, image.ID); err != nil {
 					databaseEventLog.Error("Failed to FinishProcessing", "error", err)
 					return
 				}
 
+				err = embeddings.GetEmbeddings(image.UserID, image.ImageID, image.Image.ImageName, image.Image.Image)
+				if err != nil {
+					databaseEventLog.Error("Failed to get embeddings", "error", err)
+					return
+				}
+
 				orchestrator := agents.NewOrchestratorAgent(createLogger("Orchestrator 🎼", splitWriter), noteAgent, contactAgent, locationAgent, eventAgent, image.Image.ImageName, image.Image.Image)
 				orchestrator.RunAgent(image.UserID, image.ImageID, image.Image.ImageName, image.Image.Image)
 				_, err = imageModel.FinishProcessing(ctx, image.ID)
@@ -184,7 +192,6 @@ func CreateEventsHandler(notifier *Notifier[Notification]) http.HandlerFunc {
 					return
 				}
 
-				fmt.Printf("Sending msg %s\n", msg)
 				fmt.Fprintf(w, "event: data\ndata: %s\n\n", string(msgString))
 				w.(http.Flusher).Flush()
 			}

backend/main.go

@@ -186,6 +186,36 @@ func main() {
 			w.Write(jsonImages)
 		})
 
+		r.Get("/image-similar/{id}", func(w http.ResponseWriter, r *http.Request) {
+			// TODO: authentication
+			stringImageId := r.PathValue("id")
+
+			imageId, err := uuid.Parse(stringImageId)
+			if err != nil {
+				w.WriteHeader(http.StatusForbidden)
+				fmt.Fprintf(w, "You cannot read this")
+				return
+			}
+
+			similarImages, err := imageModel.GetSimilar(r.Context(), imageId)
+			if err != nil {
+				log.Println(err)
+				w.WriteHeader(http.StatusNotFound)
+				fmt.Fprintf(w, "Something went wrong")
+				return
+			}
+
+			jsonImages, err := json.Marshal(similarImages)
+			if err != nil {
+				log.Println(err)
+				w.WriteHeader(http.StatusBadRequest)
+				fmt.Fprintf(w, "Could not create JSON response for this image")
+				return
+			}
+
+			w.Write(jsonImages)
+		})
+
 		r.Post("/image/{name}", func(w http.ResponseWriter, r *http.Request) {
 			imageName := r.PathValue("name")
 			userId := r.Context().Value(USER_ID).(uuid.UUID)

backend/models/image.go

@@ -7,6 +7,8 @@ import (
 	"fmt"
 	"screenmark/screenmark/.gen/haystack/haystack/model"
 	. "screenmark/screenmark/.gen/haystack/haystack/table"
+	"strconv"
+	"strings"
 
 	. "github.com/go-jet/jet/v2/postgres"
 
@@ -180,6 +182,58 @@ func (m ImageModel) IsUserAuthorized(ctx context.Context, imageId uuid.UUID, use
 	return err != nil && userImage.UserID.String() == userId.String()
 }
 
+func (m ImageModel) UpdateEmbedding(ctx context.Context, imageId uuid.UUID, embedding []float64) error {
+	stringSlice := make([]string, len(embedding))
+
+	for i, f := range embedding {
+		stringSlice[i] = strconv.FormatFloat(f, 'f', -1, 64)
+	}
+
+	embeddingString := "[" + strings.Join(stringSlice, ",") + "]"
+
+	_, err := m.dbPool.ExecContext(ctx, "UPDATE haystack.image SET embedding = $1::vector WHERE id = $2", embeddingString, imageId)
+
+	return err
+}
+
+const SIMILARITY_THRESHOLD = 0.5
+
+func (m ImageModel) GetSimilar(ctx context.Context, imageId uuid.UUID) ([]model.Image, error) {
+	stmt, err := m.dbPool.PrepareContext(ctx, `
+		WITH similarities AS (
+			SELECT 1 - (embedding <=> (
+				SELECT embedding
+				FROM haystack.image
+				WHERE ID = $1
+			)) AS cosine_similarity, id, image_name FROM haystack.image
+			WHERE embedding IS NOT NULL
+		)
+		SELECT id, image_name 
+		FROM similarities 
+		WHERE cosine_similarity > $2
+	`)
+
+	if err != nil {
+		return []model.Image{}, err
+	}
+
+	images := []model.Image{}
+
+	rows, err := stmt.QueryContext(ctx, imageId, SIMILARITY_THRESHOLD)
+
+	for rows.Next() {
+		image := model.Image{}
+		err := rows.Scan(&image.ID, &image.ImageName)
+		if err != nil {
+			return []model.Image{}, err
+		}
+
+		images = append(images, image)
+	}
+
+	return images, nil
+}
+
 func NewImageModel(db *sql.DB) ImageModel {
 	return ImageModel{dbPool: db}
 }

backend/schema.sql

@@ -1,6 +1,7 @@
 DROP SCHEMA IF EXISTS haystack CASCADE;
 
 CREATE SCHEMA haystack;
+CREATE EXTENSION IF NOT EXISTS vector;
 
 /* -----| Enums |----- */
 
@@ -16,7 +17,9 @@ CREATE TABLE haystack.users (
 CREATE TABLE haystack.image (
 	id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
     image_name TEXT NOT NULL,
-	image BYTEA NOT NULL
+	image BYTEA NOT NULL,
+
+    embedding vector(3072)
 );
 
 CREATE TABLE haystack.user_images_to_process (

frontend/src/Image.tsx

@@ -1,6 +1,6 @@
 import { A, useParams } from "@solidjs/router";
-import { For, Show, type Component } from "solid-js";
-import { base, type UserImage } from "./network";
+import { createResource, For, Show, type Component } from "solid-js";
+import { base, getImageSimilar, type UserImage } from "./network";
 import { useSearchImageContext } from "./contexts/SearchImageContext";
 import { SearchCard } from "./components/search-card/SearchCard";
 import { IconArrowLeft } from "@tabler/icons-solidjs";
@@ -11,6 +11,8 @@ export const Image: Component = () => {
 
     const { imagesWithProperties } = useSearchImageContext();
 
+    const [similarImages] = createResource(() => getImageSimilar(imageId));
+
     const imageProperties = (): UserImage[] | undefined =>
         Object.entries(imagesWithProperties()).find(
             ([id]) => id === imageId,
@@ -43,6 +45,21 @@ export const Image: Component = () => {
                     )}
                 </Show>
             </div>
+            <div class="w-3/4 grid grid-cols-9 gap-2 grid-flow-row-dense py-4">
+                <Show when={similarImages()}>
+                    {(images) => (
+                        <For each={images()}>
+                            {(image) => (
+                                <img
+                                    alt="similar"
+                                    class="col-span-3"
+                                    src={`${base}/image/${image.ID}`}
+                                />
+                            )}
+                        </For>
+                    )}
+                </Show>
+            </div>
         </main>
     );
 };

frontend/src/network/index.ts

@@ -193,6 +193,25 @@ export const getImage = async (imageId: string): Promise<UserImage> => {
     return parse(dataTypeValidator, res);
 };
 
+const similarImageValidator = array(
+    strictObject({
+        ID: pipe(string(), uuid()),
+        ImageName: string(),
+        Image: null_(),
+    }),
+);
+
+export const getImageSimilar = async (
+    imageId: string,
+): Promise<InferOutput<typeof similarImageValidator>> => {
+    const request = getBaseAuthorizedRequest({
+        path: `image-similar/${imageId}`,
+    });
+
+    const res = await fetch(request).then((res) => res.json());
+    return parse(similarImageValidator, res);
+};
+
 export const postLogin = async (email: string): Promise<void> => {
     const request = getBaseRequest({
         path: "login",