From e78e9f483206d441eeda662655d543f703b25dea Mon Sep 17 00:00:00 2001
From: Emanuel Ferreira <contatoferreirads@gmail.com>
Date: Sat, 10 Feb 2024 12:07:14 -0300
Subject: [PATCH] feat(reranker): cohere reranker (#535)
---
.changeset/olive-wolves-own.md | 5 +
apps/docs/docs/modules/data_loader.mdx | 2 +-
apps/docs/docs/modules/embedding.md | 2 +-
apps/docs/docs/modules/node_parser.md | 2 +-
.../node_postprocessors/_category_.yml | 2 +
.../node_postprocessors/cohere_reranker.md | 71 +++++++++++
.../docs/modules/node_postprocessors/index.md | 110 ++++++++++++++++++
examples/rerankers/CohereReranker.ts | 55 +++++++++
packages/core/package.json | 1 +
.../engines/chat/DefaultContextGenerator.ts | 21 +++-
.../src/engines/query/RetrieverQueryEngine.ts | 18 ++-
.../MetadataReplacementPostProcessor.ts | 2 +-
.../postprocessors/SimilarityPostprocessor.ts | 2 +-
packages/core/src/postprocessors/index.ts | 1 +
.../postprocessors/rerankers/CohereRerank.ts | 82 +++++++++++++
.../src/postprocessors/rerankers/index.ts | 1 +
packages/core/src/postprocessors/types.ts | 11 +-
.../MetadataReplacementPostProcessor.test.ts | 8 +-
pnpm-lock.yaml | 35 +++++-
19 files changed, 407 insertions(+), 24 deletions(-)
create mode 100644 .changeset/olive-wolves-own.md
create mode 100644 apps/docs/docs/modules/node_postprocessors/_category_.yml
create mode 100644 apps/docs/docs/modules/node_postprocessors/cohere_reranker.md
create mode 100644 apps/docs/docs/modules/node_postprocessors/index.md
create mode 100644 examples/rerankers/CohereReranker.ts
create mode 100644 packages/core/src/postprocessors/rerankers/CohereRerank.ts
create mode 100644 packages/core/src/postprocessors/rerankers/index.ts
diff --git a/.changeset/olive-wolves-own.md b/.changeset/olive-wolves-own.md
new file mode 100644
index 000000000..63094ccfd
--- /dev/null
+++ b/.changeset/olive-wolves-own.md
@@ -0,0 +1,5 @@
+---
+"llamaindex": patch
+---
+
+feat(reranker): cohere reranker
diff --git a/apps/docs/docs/modules/data_loader.mdx b/apps/docs/docs/modules/data_loader.mdx
index 8fa39dbf1..8392d2bc0 100644
--- a/apps/docs/docs/modules/data_loader.mdx
+++ b/apps/docs/docs/modules/data_loader.mdx
@@ -1,5 +1,5 @@
---
-sidebar_position: 3
+sidebar_position: 4
---
import CodeBlock from "@theme/CodeBlock";
diff --git a/apps/docs/docs/modules/embedding.md b/apps/docs/docs/modules/embedding.md
index 8be55616a..ef8ddb4f0 100644
--- a/apps/docs/docs/modules/embedding.md
+++ b/apps/docs/docs/modules/embedding.md
@@ -1,5 +1,5 @@
---
-sidebar_position: 3
+sidebar_position: 4
---
# Embedding
diff --git a/apps/docs/docs/modules/node_parser.md b/apps/docs/docs/modules/node_parser.md
index c5679fafa..9bf3fc304 100644
--- a/apps/docs/docs/modules/node_parser.md
+++ b/apps/docs/docs/modules/node_parser.md
@@ -1,5 +1,5 @@
---
-sidebar_position: 3
+sidebar_position: 4
---
# NodeParser
diff --git a/apps/docs/docs/modules/node_postprocessors/_category_.yml b/apps/docs/docs/modules/node_postprocessors/_category_.yml
new file mode 100644
index 000000000..88891a4dc
--- /dev/null
+++ b/apps/docs/docs/modules/node_postprocessors/_category_.yml
@@ -0,0 +1,2 @@
+label: "Node Postprocessors"
+position: 3
diff --git a/apps/docs/docs/modules/node_postprocessors/cohere_reranker.md b/apps/docs/docs/modules/node_postprocessors/cohere_reranker.md
new file mode 100644
index 000000000..717f8a2cd
--- /dev/null
+++ b/apps/docs/docs/modules/node_postprocessors/cohere_reranker.md
@@ -0,0 +1,71 @@
+# Cohere Reranker
+
+The Cohere Reranker is a postprocessor that uses the Cohere API to rerank the results of a search query.
+
+## Setup
+
+Firstly, you will need to install the `llamaindex` package.
+
+```bash
+pnpm install llamaindex
+```
+
+Now, you will need to sign up for an API key at [Cohere](https://cohere.ai/). Once you have your API key you can import the necessary modules and create a new instance of the `CohereRerank` class.
+
+```ts
+import {
+ CohereRerank,
+ Document,
+ OpenAI,
+ VectorStoreIndex,
+ serviceContextFromDefaults,
+} from "llamaindex";
+```
+
+## Load and index documents
+
+For this example, we will use a single document. In a real-world scenario, you would have multiple documents to index.
+
+```ts
+const document = new Document({ text: essay, id_: "essay" });
+
+const serviceContext = serviceContextFromDefaults({
+ llm: new OpenAI({ model: "gpt-3.5-turbo", temperature: 0.1 }),
+});
+
+const index = await VectorStoreIndex.fromDocuments([document], {
+ serviceContext,
+});
+```
+
+## Increase similarity topK to retrieve more results
+
+The default value for `similarityTopK` is 2. This means that only the most similar document will be returned. To retrieve more results, you can increase the value of `similarityTopK`.
+
+```ts
+const retriever = index.asRetriever();
+retriever.similarityTopK = 5;
+```
+
+## Create a new instance of the CohereRerank class
+
+Then you can create a new instance of the `CohereRerank` class and pass in your API key and the number of results you want to return.
+
+```ts
+const nodePostprocessor = new CohereRerank({
+ apiKey: "<COHERE_API_KEY>",
+ topN: 4,
+});
+```
+
+## Create a query engine with the retriever and node postprocessor
+
+```ts
+const queryEngine = index.asQueryEngine({
+ retriever,
+ nodePostprocessors: [nodePostprocessor],
+});
+
+// log the response
+const response = await queryEngine.query("Where did the author grown up?");
+```
diff --git a/apps/docs/docs/modules/node_postprocessors/index.md b/apps/docs/docs/modules/node_postprocessors/index.md
new file mode 100644
index 000000000..ec5ae88e1
--- /dev/null
+++ b/apps/docs/docs/modules/node_postprocessors/index.md
@@ -0,0 +1,110 @@
+# Node Postprocessors
+
+## Concept
+
+Node postprocessors are a set of modules that take a set of nodes, and apply some kind of transformation or filtering before returning them.
+
+In LlamaIndex, node postprocessors are most commonly applied within a query engine, after the node retrieval step and before the response synthesis step.
+
+LlamaIndex offers several node postprocessors for immediate use, while also providing a simple API for adding your own custom postprocessors.
+
+## Usage Pattern
+
+An example of using a node postprocessors is below:
+
+```ts
+import {
+ Node,
+ NodeWithScore,
+ SimilarityPostprocessor,
+ CohereRerank,
+} from "llamaindex";
+
+const nodes: NodeWithScore[] = [
+ {
+ node: new TextNode({ text: "hello world" }),
+ score: 0.8,
+ },
+ {
+ node: new TextNode({ text: "LlamaIndex is the best" }),
+ score: 0.6,
+ },
+];
+
+// similarity postprocessor: filter nodes below 0.75 similarity score
+const processor = new SimilarityPostprocessor({
+ similarityCutoff: 0.7,
+});
+
+const filteredNodes = processor.postprocessNodes(nodes);
+
+// cohere rerank: rerank nodes given query using trained model
+const reranker = new CohereRerank({
+ apiKey: "<COHERE_API_KEY>",
+ topN: 2,
+});
+
+const rerankedNodes = await reranker.postprocessNodes(nodes, "<user_query>");
+
+console.log(filteredNodes, rerankedNodes);
+```
+
+Now you can use the `filteredNodes` and `rerankedNodes` in your application.
+
+## Using Node Postprocessors in LlamaIndex
+
+Most commonly, node-postprocessors will be used in a query engine, where they are applied to the nodes returned from a retriever, and before the response synthesis step.
+
+### Using Node Postprocessors in a Query Engine
+
+```ts
+import { Node, NodeWithScore, SimilarityPostprocessor, CohereRerank } from "llamaindex";
+
+const nodes: NodeWithScore[] = [
+ {
+ node: new TextNode({ text: "hello world" }),
+ score: 0.8,
+ },
+ {
+ node: new TextNode({ text: "LlamaIndex is the best" }),
+ score: 0.6,
+ }
+];
+
+// cohere rerank: rerank nodes given query using trained model
+const reranker = new CohereRerank({
+ apiKey: "<COHERE_API_KEY>,
+ topN: 2,
+})
+
+const document = new Document({ text: "essay", id_: "essay" });
+
+const serviceContext = serviceContextFromDefaults({
+ llm: new OpenAI({ model: "gpt-3.5-turbo", temperature: 0.1 }),
+});
+
+const index = await VectorStoreIndex.fromDocuments([document], {
+ serviceContext,
+});
+
+const queryEngine = index.asQueryEngine({
+ nodePostprocessors: [processor, reranker],
+});
+
+// all node post-processors will be applied during each query
+const response = await queryEngine.query("<user_query>");
+```
+
+### Using with retrieved nodes
+
+```ts
+import { SimilarityPostprocessor } from "llamaindex";
+
+nodes = await index.asRetriever().retrieve("test query str");
+
+const processor = new SimilarityPostprocessor({
+ similarityCutoff: 0.7,
+});
+
+const filteredNodes = processor.postprocessNodes(nodes);
+```
diff --git a/examples/rerankers/CohereReranker.ts b/examples/rerankers/CohereReranker.ts
new file mode 100644
index 000000000..4b34fa549
--- /dev/null
+++ b/examples/rerankers/CohereReranker.ts
@@ -0,0 +1,55 @@
+import {
+ CohereRerank,
+ Document,
+ OpenAI,
+ VectorStoreIndex,
+ serviceContextFromDefaults,
+} from "llamaindex";
+
+import essay from "../essay";
+
+async function main() {
+ const document = new Document({ text: essay, id_: "essay" });
+
+ const serviceContext = serviceContextFromDefaults({
+ llm: new OpenAI({ model: "gpt-3.5-turbo", temperature: 0.1 }),
+ });
+
+ const index = await VectorStoreIndex.fromDocuments([document], {
+ serviceContext,
+ });
+
+ const retriever = index.asRetriever();
+
+ retriever.similarityTopK = 5;
+
+ const nodePostprocessor = new CohereRerank({
+ apiKey: "<COHERE_API_KEY>",
+ topN: 5,
+ });
+
+ const queryEngine = index.asQueryEngine({
+ retriever,
+ nodePostprocessors: [nodePostprocessor],
+ });
+
+ const baseQueryEngine = index.asQueryEngine({
+ retriever,
+ });
+
+ const response = await queryEngine.query({
+ query: "What did the author do growing up?",
+ });
+
+ // cohere response
+ console.log(response.response);
+
+ const baseResponse = await baseQueryEngine.query({
+ query: "What did the author do growing up?",
+ });
+
+ // response without cohere
+ console.log(baseResponse.response);
+}
+
+main().catch(console.error);
diff --git a/packages/core/package.json b/packages/core/package.json
index 9e5719e6e..ff4032902 100644
--- a/packages/core/package.json
+++ b/packages/core/package.json
@@ -13,6 +13,7 @@
"@xenova/transformers": "^2.15.0",
"assemblyai": "^4.2.2",
"chromadb": "~1.7.3",
+ "cohere-ai": "^7.7.5",
"file-type": "^18.7.0",
"js-tiktoken": "^1.0.10",
"lodash": "^4.17.21",
diff --git a/packages/core/src/engines/chat/DefaultContextGenerator.ts b/packages/core/src/engines/chat/DefaultContextGenerator.ts
index b5db4d27b..11566b85d 100644
--- a/packages/core/src/engines/chat/DefaultContextGenerator.ts
+++ b/packages/core/src/engines/chat/DefaultContextGenerator.ts
@@ -22,11 +22,17 @@ export class DefaultContextGenerator implements ContextGenerator {
this.nodePostprocessors = init.nodePostprocessors || [];
}
- private applyNodePostprocessors(nodes: NodeWithScore[]) {
- return this.nodePostprocessors.reduce(
- (nodes, nodePostprocessor) => nodePostprocessor.postprocessNodes(nodes),
- nodes,
- );
+ private async applyNodePostprocessors(nodes: NodeWithScore[], query: string) {
+ let nodesWithScore = nodes;
+
+ for (const postprocessor of this.nodePostprocessors) {
+ nodesWithScore = await postprocessor.postprocessNodes(
+ nodesWithScore,
+ query,
+ );
+ }
+
+ return nodesWithScore;
}
async generate(message: string, parentEvent?: Event): Promise<Context> {
@@ -42,7 +48,10 @@ export class DefaultContextGenerator implements ContextGenerator {
parentEvent,
);
- const nodes = this.applyNodePostprocessors(sourceNodesWithScore);
+ const nodes = await this.applyNodePostprocessors(
+ sourceNodesWithScore,
+ message,
+ );
return {
message: {
diff --git a/packages/core/src/engines/query/RetrieverQueryEngine.ts b/packages/core/src/engines/query/RetrieverQueryEngine.ts
index 51470a387..cbec0f7e3 100644
--- a/packages/core/src/engines/query/RetrieverQueryEngine.ts
+++ b/packages/core/src/engines/query/RetrieverQueryEngine.ts
@@ -36,11 +36,17 @@ export class RetrieverQueryEngine implements BaseQueryEngine {
this.nodePostprocessors = nodePostprocessors || [];
}
- private applyNodePostprocessors(nodes: NodeWithScore[]) {
- return this.nodePostprocessors.reduce(
- (nodes, nodePostprocessor) => nodePostprocessor.postprocessNodes(nodes),
- nodes,
- );
+ private async applyNodePostprocessors(nodes: NodeWithScore[], query: string) {
+ let nodesWithScore = nodes;
+
+ for (const postprocessor of this.nodePostprocessors) {
+ nodesWithScore = await postprocessor.postprocessNodes(
+ nodesWithScore,
+ query,
+ );
+ }
+
+ return nodesWithScore;
}
private async retrieve(query: string, parentEvent: Event) {
@@ -50,7 +56,7 @@ export class RetrieverQueryEngine implements BaseQueryEngine {
this.preFilters,
);
- return this.applyNodePostprocessors(nodes);
+ return await this.applyNodePostprocessors(nodes, query);
}
query(params: QueryEngineParamsStreaming): Promise<AsyncIterable<Response>>;
diff --git a/packages/core/src/postprocessors/MetadataReplacementPostProcessor.ts b/packages/core/src/postprocessors/MetadataReplacementPostProcessor.ts
index d05d94a10..e53a6e435 100644
--- a/packages/core/src/postprocessors/MetadataReplacementPostProcessor.ts
+++ b/packages/core/src/postprocessors/MetadataReplacementPostProcessor.ts
@@ -8,7 +8,7 @@ export class MetadataReplacementPostProcessor implements BaseNodePostprocessor {
this.targetMetadataKey = targetMetadataKey;
}
- postprocessNodes(nodes: NodeWithScore[]): NodeWithScore[] {
+ async postprocessNodes(nodes: NodeWithScore[]): Promise<NodeWithScore[]> {
for (let n of nodes) {
n.node.setContent(
n.node.metadata[this.targetMetadataKey] ??
diff --git a/packages/core/src/postprocessors/SimilarityPostprocessor.ts b/packages/core/src/postprocessors/SimilarityPostprocessor.ts
index 91674515e..413fa9229 100644
--- a/packages/core/src/postprocessors/SimilarityPostprocessor.ts
+++ b/packages/core/src/postprocessors/SimilarityPostprocessor.ts
@@ -8,7 +8,7 @@ export class SimilarityPostprocessor implements BaseNodePostprocessor {
this.similarityCutoff = options?.similarityCutoff;
}
- postprocessNodes(nodes: NodeWithScore[]) {
+ async postprocessNodes(nodes: NodeWithScore[]) {
if (this.similarityCutoff === undefined) return nodes;
const cutoff = this.similarityCutoff || 0;
diff --git a/packages/core/src/postprocessors/index.ts b/packages/core/src/postprocessors/index.ts
index f79e4ced0..3e52ee40c 100644
--- a/packages/core/src/postprocessors/index.ts
+++ b/packages/core/src/postprocessors/index.ts
@@ -1,3 +1,4 @@
export * from "./MetadataReplacementPostProcessor";
export * from "./SimilarityPostprocessor";
+export * from "./rerankers";
export * from "./types";
diff --git a/packages/core/src/postprocessors/rerankers/CohereRerank.ts b/packages/core/src/postprocessors/rerankers/CohereRerank.ts
new file mode 100644
index 000000000..44d4e9f7a
--- /dev/null
+++ b/packages/core/src/postprocessors/rerankers/CohereRerank.ts
@@ -0,0 +1,82 @@
+import { CohereClient } from "cohere-ai";
+
+import { MetadataMode, NodeWithScore } from "../../Node";
+import { BaseNodePostprocessor } from "../types";
+
+type CohereRerankOptions = {
+ topN?: number;
+ model?: string;
+ apiKey: string | null;
+};
+
+export class CohereRerank implements BaseNodePostprocessor {
+ topN: number = 2;
+ model: string = "rerank-english-v2.0";
+ apiKey: string | null = null;
+
+ private client: CohereClient | null = null;
+
+ /**
+ * Constructor for CohereRerank.
+ * @param topN Number of nodes to return.
+ */
+ constructor({
+ topN = 2,
+ model = "rerank-english-v2.0",
+ apiKey = null,
+ }: CohereRerankOptions) {
+ if (apiKey === null) {
+ throw new Error("CohereRerank requires an API key");
+ }
+
+ this.topN = topN;
+ this.model = model;
+ this.apiKey = apiKey;
+
+ this.client = new CohereClient({
+ token: this.apiKey,
+ });
+ }
+
+ /**
+ * Reranks the nodes using the Cohere API.
+ * @param nodes Array of nodes with scores.
+ * @param query Query string.
+ */
+ async postprocessNodes(
+ nodes: NodeWithScore[],
+ query?: string,
+ ): Promise<NodeWithScore[]> {
+ if (this.client === null) {
+ throw new Error("CohereRerank client is null");
+ }
+
+ if (nodes.length === 0) {
+ return [];
+ }
+
+ if (query === undefined) {
+ throw new Error("CohereRerank requires a query");
+ }
+
+ const results = await this.client.rerank({
+ query,
+ model: this.model,
+ topN: this.topN,
+ documents: nodes.map((n) => n.node.getContent(MetadataMode.ALL)),
+ });
+
+ const newNodes: NodeWithScore[] = [];
+
+ for (const result of results.results) {
+ const node = nodes[result.index];
+
+ newNodes.push({
+ node: node.node,
+ score: result.relevanceScore,
+ });
+ }
+
+ return newNodes;
+ }
+}
diff --git a/packages/core/src/postprocessors/rerankers/index.ts b/packages/core/src/postprocessors/rerankers/index.ts
new file mode 100644
index 000000000..8ef81bdb8
--- /dev/null
+++ b/packages/core/src/postprocessors/rerankers/index.ts
@@ -0,0 +1 @@
+export * from "./CohereRerank";
diff --git a/packages/core/src/postprocessors/types.ts b/packages/core/src/postprocessors/types.ts
index 2d0c73e78..deedc0cee 100644
--- a/packages/core/src/postprocessors/types.ts
+++ b/packages/core/src/postprocessors/types.ts
@@ -1,5 +1,14 @@
import { NodeWithScore } from "../Node";
export interface BaseNodePostprocessor {
- postprocessNodes: (nodes: NodeWithScore[]) => NodeWithScore[];
+ /**
+ * Send message along with the class's current chat history to the LLM.
+ * This version returns a promise for asynchronous operation.
+ * @param nodes Array of nodes with scores.
+ * @param query Optional query string.
+ */
+ postprocessNodes(
+ nodes: NodeWithScore[],
+ query?: string,
+ ): Promise<NodeWithScore[]>;
}
diff --git a/packages/core/src/tests/postprocessors/MetadataReplacementPostProcessor.test.ts b/packages/core/src/tests/postprocessors/MetadataReplacementPostProcessor.test.ts
index f9a76845d..1e6f16c9d 100644
--- a/packages/core/src/tests/postprocessors/MetadataReplacementPostProcessor.test.ts
+++ b/packages/core/src/tests/postprocessors/MetadataReplacementPostProcessor.test.ts
@@ -18,15 +18,15 @@ describe("MetadataReplacementPostProcessor", () => {
];
});
- test("Replaces the content of each node with specified metadata key if it exists", () => {
+ test("Replaces the content of each node with specified metadata key if it exists", async () => {
nodes[0].node.metadata = { targetKey: "NewContent" };
- const newNodes = postProcessor.postprocessNodes(nodes);
+ const newNodes = await postProcessor.postprocessNodes(nodes);
// Check if node content was replaced correctly
expect(newNodes[0].node.getContent(MetadataMode.NONE)).toBe("NewContent");
});
- test("Retains the original content of each node if no metadata key is found", () => {
- const newNodes = postProcessor.postprocessNodes(nodes);
+ test("Retains the original content of each node if no metadata key is found", async () => {
+ const newNodes = await postProcessor.postprocessNodes(nodes);
// Check if node content remained unchanged
expect(newNodes[0].node.getContent(MetadataMode.NONE)).toBe("OldContent");
});
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index 8aa514fc7..e27fc0c2e 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -194,7 +194,10 @@ importers:
version: 4.2.2
chromadb:
specifier: ~1.7.3
- version: 1.7.3(openai@4.26.1)
+ version: 1.7.3(cohere-ai@7.7.5)(openai@4.26.1)
+ cohere-ai:
+ specifier: ^7.7.5
+ version: 7.7.5
file-type:
specifier: ^18.7.0
version: 18.7.0
@@ -5966,7 +5969,7 @@ packages:
engines: {node: '>=10'}
dev: true
- /chromadb@1.7.3(openai@4.26.1):
+ /chromadb@1.7.3(cohere-ai@7.7.5)(openai@4.26.1):
resolution: {integrity: sha512-3GgvQjpqgk5C89x5EuTDaXKbfrdqYDJ5UVyLQ3ZmwxnpetNc+HhRDGjkvXa5KSvpQ3lmKoyDoqnN4tZepfFkbw==}
engines: {node: '>=14.17.0'}
peerDependencies:
@@ -5982,6 +5985,7 @@ packages:
optional: true
dependencies:
cliui: 8.0.1
+ cohere-ai: 7.7.5
isomorphic-fetch: 3.0.0
openai: 4.26.1
transitivePeerDependencies:
@@ -6130,6 +6134,18 @@ packages:
rfdc: 1.3.1
dev: false
+ /cohere-ai@7.7.5:
+ resolution: {integrity: sha512-uKh4TzHpY/8nwuYprLKSz0vSKclL4zb8il/YNxfFuWgk9/Nhuw4ugzRuT+CE2f4miQG5dPtPfwXCYUJB60mfwQ==}
+ dependencies:
+ form-data: 4.0.0
+ js-base64: 3.7.2
+ node-fetch: 2.7.0(encoding@0.1.13)
+ qs: 6.11.2
+ url-join: 4.0.1
+ transitivePeerDependencies:
+ - encoding
+ dev: false
+
/collapse-white-space@2.1.0:
resolution: {integrity: sha512-loKTxY1zCOuG4j9f6EPnuyyYkf58RnhhWTvRoZEokgB+WbdXehfjFviyOVYkqzEWz1Q5kRiZdBYS5SwxbQYwzw==}
@@ -10276,6 +10292,10 @@ packages:
'@sideway/formula': 3.0.1
'@sideway/pinpoint': 2.0.0
+ /js-base64@3.7.2:
+ resolution: {integrity: sha512-NnRs6dsyqUXejqk/yv2aiXlAvOs56sLkX6nUdeaNezI5LFFLlsZjOThmwnrcwh5ZZRwZlCMnVAY3CvhIhoVEKQ==}
+ dev: false
+
/js-tiktoken@1.0.10:
resolution: {integrity: sha512-ZoSxbGjvGyMT13x6ACo9ebhDha/0FHdKA+OsQcMOWcm1Zs7r90Rhk5lhERLzji+3rA7EKpXCgwXcM5fF3DMpdA==}
dependencies:
@@ -13311,6 +13331,13 @@ packages:
dependencies:
side-channel: 1.0.4
+ /qs@6.11.2:
+ resolution: {integrity: sha512-tDNIz22aBzCDxLtVH++VnTfzxlfeK5CbqohpSqpJgj1Wg/cQbStNAz3NuqCs5vV+pjBsK4x4pN9HlVh7rcYRiA==}
+ engines: {node: '>=0.6'}
+ dependencies:
+ side-channel: 1.0.4
+ dev: false
+
/queue-microtask@1.2.3:
resolution: {integrity: sha512-NuaNSa6flKT5JaSYQzJok04JzTL1CA6aGhv5rfLW3PgqA+M2ChpZQnAC8h8i4ZFkBS8X5RqkDBHA7r4hej3K9A==}
@@ -15824,6 +15851,10 @@ packages:
dependencies:
punycode: 2.3.1
+ /url-join@4.0.1:
+ resolution: {integrity: sha512-jk1+QP6ZJqyOiuEI9AEWQfju/nB2Pw466kbA0LEZljHwKeMgd9WrAEgEGxjPDD2+TNbbb37rTyhEfrCXfuKXnA==}
+ dev: false
+
/url-loader@4.1.1(file-loader@6.2.0)(webpack@5.90.0):
resolution: {integrity: sha512-3BTV812+AVHHOJQO8O5MkWgZ5aosP7GnROJwvzLS9hWDj00lZ6Z0wNak423Lp9PBZN05N+Jk/N5Si8jRAlGyWA==}
engines: {node: '>= 10.13.0'}
--
GitLab