diff --git a/JS/edgechains/arakoodev/src/vector-db/src/index.ts b/JS/edgechains/arakoodev/src/vector-db/src/index.ts
index 557104a14..258d09ebf 100644
--- a/JS/edgechains/arakoodev/src/vector-db/src/index.ts
+++ b/JS/edgechains/arakoodev/src/vector-db/src/index.ts
@@ -1 +1,3 @@
 export { Supabase } from "./lib/supabase/supabase.js";
+export { Qdrant } from "./lib/qdrant/qdrant.js";
+export type { QdrantClientOptions, QdrantPoint, QdrantSearchResult } from "./lib/qdrant/qdrant.js";
diff --git a/JS/edgechains/arakoodev/src/vector-db/src/lib/qdrant/qdrant.ts b/JS/edgechains/arakoodev/src/vector-db/src/lib/qdrant/qdrant.ts
new file mode 100644
index 000000000..d3436c394
--- /dev/null
+++ b/JS/edgechains/arakoodev/src/vector-db/src/lib/qdrant/qdrant.ts
@@ -0,0 +1,281 @@
+type QdrantFetch = typeof fetch;
+
+export interface QdrantClientOptions {
+    url?: string;
+    apiKey?: string;
+    fetcher?: QdrantFetch;
+}
+
+export interface QdrantPoint {
+    id: string | number;
+    vector: number[] | Record<string, number[]>;
+    payload?: Record<string, unknown>;
+}
+
+export interface QdrantSearchResult {
+    id: string | number;
+    score?: number;
+    payload?: Record<string, unknown>;
+    vector?: number[] | Record<string, number[]>;
+}
+
+interface QdrantRequestOptions {
+    method?: string;
+    body?: unknown;
+    query?: Record<string, string | number | boolean | undefined>;
+}
+
+export class Qdrant {
+    QDRANT_URL: string;
+    QDRANT_API_KEY?: string;
+    private readonly fetcher: QdrantFetch;
+
+    constructor(QDRANT_URL?: string, QDRANT_API_KEY?: string, options: QdrantClientOptions = {}) {
+        this.QDRANT_URL = (options.url || QDRANT_URL || process.env.QDRANT_URL || "").replace(
+            /\/$/,
+            ""
+        );
+        this.QDRANT_API_KEY = options.apiKey || QDRANT_API_KEY || process.env.QDRANT_API_KEY;
+        this.fetcher = options.fetcher || fetch;
+
+        if (!this.QDRANT_URL) {
+            throw new Error("Qdrant URL is required. Pass QDRANT_URL or set process.env.QDRANT_URL.");
+        }
+    }
+
+    createClient() {
+        return this;
+    }
+
+    async createCollection({
+        collectionName,
+        vectorSize,
+        distance = "Cosine",
+    }: {
+        collectionName: string;
+        vectorSize: number;
+        distance?: "Cosine" | "Euclid" | "Dot" | "Manhattan";
+    }) {
+        return this.request(`/collections/${collectionName}`, {
+            method: "PUT",
+            body: {
+                vectors: {
+                    size: vectorSize,
+                    distance,
+                },
+            },
+        });
+    }
+
+    async insertVectorData({
+        collectionName,
+        tableName,
+        points,
+        id,
+        embedding,
+        vector,
+        payload,
+        content,
+        ...rest
+    }: {
+        collectionName?: string;
+        tableName?: string;
+        points?: QdrantPoint[];
+        id?: string | number;
+        embedding?: number[];
+        vector?: number[] | Record<string, number[]>;
+        payload?: Record<string, unknown>;
+        content?: string;
+        [key: string]: unknown;
+    }) {
+        const targetCollection = collectionName || tableName;
+        if (!targetCollection) throw new Error("collectionName is required");
+
+        const qdrantPoints =
+            points ||
+            [
+                {
+                    id: id || Date.now(),
+                    vector: vector || embedding || [],
+                    payload: payload || { content, ...rest },
+                },
+            ];
+
+        return this.request(`/collections/${targetCollection}/points`, {
+            method: "PUT",
+            body: {
+                points: qdrantPoints,
+            },
+        });
+    }
+
+    async getDataFromQuery({
+        collectionName,
+        tableName,
+        vector,
+        embedding,
+        limit = 10,
+        filter,
+        withPayload = true,
+        withVector = false,
+    }: {
+        collectionName?: string;
+        tableName?: string;
+        vector?: number[] | Record<string, number[]>;
+        embedding?: number[];
+        limit?: number;
+        filter?: Record<string, unknown>;
+        withPayload?: boolean;
+        withVector?: boolean;
+    }): Promise<QdrantSearchResult[]> {
+        const targetCollection = collectionName || tableName;
+        if (!targetCollection) throw new Error("collectionName is required");
+
+        const response = await this.request(`/collections/${targetCollection}/points/search`, {
+            method: "POST",
+            body: {
+                vector: vector || embedding,
+                limit,
+                filter,
+                with_payload: withPayload,
+                with_vector: withVector,
+            },
+        });
+
+        return response.result || [];
+    }
+
+    async getData({
+        collectionName,
+        tableName,
+        limit = 10,
+        offset,
+        filter,
+        withPayload = true,
+        withVector = false,
+    }: {
+        collectionName?: string;
+        tableName?: string;
+        limit?: number;
+        offset?: string | number;
+        filter?: Record<string, unknown>;
+        withPayload?: boolean;
+        withVector?: boolean;
+    }) {
+        const targetCollection = collectionName || tableName;
+        if (!targetCollection) throw new Error("collectionName is required");
+
+        const response = await this.request(`/collections/${targetCollection}/points/scroll`, {
+            method: "POST",
+            body: {
+                limit,
+                offset,
+                filter,
+                with_payload: withPayload,
+                with_vector: withVector,
+            },
+        });
+
+        return response.result;
+    }
+
+    async getDataById({
+        collectionName,
+        tableName,
+        id,
+        withPayload = true,
+        withVector = false,
+    }: {
+        collectionName?: string;
+        tableName?: string;
+        id: string | number;
+        withPayload?: boolean;
+        withVector?: boolean;
+    }) {
+        const targetCollection = collectionName || tableName;
+        if (!targetCollection) throw new Error("collectionName is required");
+
+        const response = await this.request(`/collections/${targetCollection}/points`, {
+            method: "POST",
+            body: {
+                ids: [id],
+                with_payload: withPayload,
+                with_vector: withVector,
+            },
+        });
+
+        return response.result?.[0] || null;
+    }
+
+    async updateById({
+        collectionName,
+        tableName,
+        id,
+        updatedContent,
+        payload,
+    }: {
+        collectionName?: string;
+        tableName?: string;
+        id: string | number;
+        updatedContent?: Record<string, unknown>;
+        payload?: Record<string, unknown>;
+    }) {
+        const targetCollection = collectionName || tableName;
+        if (!targetCollection) throw new Error("collectionName is required");
+
+        return this.request(`/collections/${targetCollection}/points/payload`, {
+            method: "POST",
+            body: {
+                points: [id],
+                payload: payload || updatedContent || {},
+            },
+        });
+    }
+
+    async deleteById({
+        collectionName,
+        tableName,
+        id,
+    }: {
+        collectionName?: string;
+        tableName?: string;
+        id: string | number;
+    }) {
+        const targetCollection = collectionName || tableName;
+        if (!targetCollection) throw new Error("collectionName is required");
+
+        return this.request(`/collections/${targetCollection}/points/delete`, {
+            method: "POST",
+            body: {
+                points: [id],
+            },
+        });
+    }
+
+    private async request(path: string, options: QdrantRequestOptions = {}) {
+        const url = new URL(`${this.QDRANT_URL}${path}`);
+        Object.entries(options.query || {}).forEach(([key, value]) => {
+            if (value !== undefined) url.searchParams.set(key, String(value));
+        });
+
+        const response = await this.fetcher(url.toString(), {
+            method: options.method || "GET",
+            headers: {
+                "Content-Type": "application/json",
+                ...(this.QDRANT_API_KEY ? { "api-key": this.QDRANT_API_KEY } : {}),
+            },
+            body: options.body === undefined ? undefined : JSON.stringify(options.body),
+        });
+
+        const text = await response.text();
+        const data = text ? JSON.parse(text) : {};
+
+        if (!response.ok) {
+            throw new Error(
+                `Qdrant request failed with ${response.status}: ${data.status?.error || text}`
+            );
+        }
+
+        return data;
+    }
+}
diff --git a/JS/edgechains/arakoodev/src/vector-db/src/tests/qdrant/qdrant.test.ts b/JS/edgechains/arakoodev/src/vector-db/src/tests/qdrant/qdrant.test.ts
new file mode 100644
index 000000000..95cba7c35
--- /dev/null
+++ b/JS/edgechains/arakoodev/src/vector-db/src/tests/qdrant/qdrant.test.ts
@@ -0,0 +1,96 @@
+import { describe, expect, it, vi } from "vitest";
+import { Qdrant } from "../../lib/qdrant/qdrant.js";
+
+function jsonResponse(body: unknown, ok = true, status = 200) {
+    return {
+        ok,
+        status,
+        text: vi.fn().mockResolvedValue(JSON.stringify(body)),
+    } as unknown as Response;
+}
+
+describe("Qdrant", () => {
+    it("creates a collection with vector configuration", async () => {
+        const fetcher = vi.fn().mockResolvedValue(jsonResponse({ result: true }));
+        const qdrant = new Qdrant("https://qdrant.test", "secret", { fetcher });
+
+        await qdrant.createCollection({
+            collectionName: "documents",
+            vectorSize: 1536,
+        });
+
+        expect(fetcher).toHaveBeenCalledWith(
+            "https://qdrant.test/collections/documents",
+            expect.objectContaining({
+                method: "PUT",
+                headers: expect.objectContaining({ "api-key": "secret" }),
+                body: JSON.stringify({
+                    vectors: {
+                        size: 1536,
+                        distance: "Cosine",
+                    },
+                }),
+            })
+        );
+    });
+
+    it("upserts vector points using the REST API", async () => {
+        const fetcher = vi.fn().mockResolvedValue(jsonResponse({ result: { status: "ok" } }));
+        const qdrant = new Qdrant("https://qdrant.test", undefined, { fetcher });
+
+        await qdrant.insertVectorData({
+            collectionName: "documents",
+            id: 1,
+            embedding: [0.1, 0.2],
+            content: "hello",
+        });
+
+        expect(fetcher).toHaveBeenCalledWith(
+            "https://qdrant.test/collections/documents/points",
+            expect.objectContaining({
+                method: "PUT",
+                body: JSON.stringify({
+                    points: [
+                        {
+                            id: 1,
+                            vector: [0.1, 0.2],
+                            payload: { content: "hello" },
+                        },
+                    ],
+                }),
+            })
+        );
+    });
+
+    it("returns normalized search results", async () => {
+        const fetcher = vi.fn().mockResolvedValue(
+            jsonResponse({
+                result: [{ id: 1, score: 0.99, payload: { content: "match" } }],
+            })
+        );
+        const qdrant = new Qdrant("https://qdrant.test", undefined, { fetcher });
+
+        const result = await qdrant.getDataFromQuery({
+            collectionName: "documents",
+            vector: [0.1, 0.2],
+            limit: 1,
+        });
+
+        expect(result).toEqual([{ id: 1, score: 0.99, payload: { content: "match" } }]);
+    });
+
+    it("deletes a point by id", async () => {
+        const fetcher = vi.fn().mockResolvedValue(jsonResponse({ result: { status: "ok" } }));
+        const qdrant = new Qdrant("https://qdrant.test", undefined, { fetcher });
+
+        await qdrant.deleteById({ collectionName: "documents", id: "abc" });
+
+        expect(fetcher).toHaveBeenCalledWith(
+            "https://qdrant.test/collections/documents/points/delete",
+            expect.objectContaining({
+                method: "POST",
+                body: JSON.stringify({ points: ["abc"] }),
+            })
+        );
+    });
+});
diff --git a/JS/edgechains/examples/qdrant-vector-db/README.md b/JS/edgechains/examples/qdrant-vector-db/README.md
new file mode 100644
index 000000000..a7b1d68ed
--- /dev/null
+++ b/JS/edgechains/examples/qdrant-vector-db/README.md
@@ -0,0 +1,29 @@
+# Qdrant vector database example
+
+This example shows how to use the EdgeChains JavaScript SDK with Qdrant through
+the direct REST API wrapper.
+
+```ts
+import { Qdrant } from "@arakoodev/edgechains.js/vector-db";
+
+const qdrant = new Qdrant(process.env.QDRANT_URL, process.env.QDRANT_API_KEY);
+
+await qdrant.createCollection({
+    collectionName: "documents",
+    vectorSize: 3,
+});
+
+await qdrant.insertVectorData({
+    collectionName: "documents",
+    id: 1,
+    embedding: [0.1, 0.2, 0.3],
+    content: "EdgeChains can store vectors in Qdrant",
+});
+
+const matches = await qdrant.getDataFromQuery({
+    collectionName: "documents",
+    vector: [0.1, 0.2, 0.3],
+});
+
+console.log(matches);
+```