chore: lint files

langchain-ai · Jun 12, 2024 · 54f7576 · 54f7576
1 parent 90179e9
commit 54f7576
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Showing 9 changed files with 10 additions and 27 deletions.
diff --git a/docs/core_docs/docs/tutorials/agents.mdx b/docs/core_docs/docs/tutorials/agents.mdx
@@ -83,9 +83,7 @@ const vectorstore = await MemoryVectorStore.fromDocuments(
 );
 const retriever = vectorstore.asRetriever();
 
-const retrieverResult = await retriever.invoke(
-  "how to upload a dataset"
-);
+const retrieverResult = await retriever.invoke("how to upload a dataset");
 console.log(retrieverResult[0]);
 
 /*

diff --git a/examples/src/retrievers/parent_document_retriever_rerank.ts b/examples/src/retrievers/parent_document_retriever_rerank.ts
@@ -69,9 +69,7 @@ await retriever.addDocuments(docs);
 
 // This will search for documents in vector store and return for LLM already reranked and sorted document
 // with appropriate minimum relevance score
-const retrievedDocs = await retriever.invoke(
-  "What is Pam's favorite color?"
-);
+const retrievedDocs = await retriever.invoke("What is Pam's favorite color?");
 
 // Pam's favorite color is returned first!
 console.log(JSON.stringify(retrievedDocs, null, 2));

diff --git a/...hain/src/experimental/chains/violation_of_expectations/violation_of_expectations_chain.ts b/...hain/src/experimental/chains/violation_of_expectations/violation_of_expectations_chain.ts
@@ -294,9 +294,7 @@ export class ViolationOfExpectationsChain
     // Only extract the first relevant doc from the retriever. We don't need more than one.
     const relevantInsightsDocuments = await Promise.all(
       insights.map(async (insight) => {
-        const relevantInsight = await this.retriever.invoke(
-          insight
-        );
+        const relevantInsight = await this.retriever.invoke(insight);
         return relevantInsight[0];
       })
     );

diff --git a/langchain/src/retrievers/multi_query.ts b/langchain/src/retrievers/multi_query.ts
@@ -159,10 +159,7 @@ export class MultiQueryRetriever extends BaseRetriever {
     const documents: Document[] = [];
     await Promise.all(
       queries.map(async (query) => {
-        const docs = await this.retriever.invoke(
-          query,
-          runManager?.getChild()
-        );
+        const docs = await this.retriever.invoke(query, runManager?.getChild());
         documents.push(...docs);
       })
     );

diff --git a/langchain/src/retrievers/tests/hyde.int.test.ts b/langchain/src/retrievers/tests/hyde.int.test.ts
@@ -23,9 +23,7 @@ test("Hyde retriever", async () => {
     ].map((pageContent) => new Document({ pageContent }))
   );
 
-  const results = await retriever.invoke(
-    "What is my favourite food?"
-  );
+  const results = await retriever.invoke("What is my favourite food?");
 
   expect(results.length).toBe(1);
   console.log(results);
@@ -51,9 +49,7 @@ test("Hyde retriever with default prompt template", async () => {
     ].map((pageContent) => new Document({ pageContent }))
   );
 
-  const results = await retriever.invoke(
-    "What is my favourite food?"
-  );
+  const results = await retriever.invoke("What is my favourite food?");
 
   expect(results.length).toBe(1);
   console.log(results);

diff --git a/libs/langchain-community/src/vectorstores/tests/azure_aisearch.int.test.ts b/libs/langchain-community/src/vectorstores/tests/azure_aisearch.int.test.ts
@@ -183,8 +183,7 @@ describe.skip("AzureAISearchVectorStore e2e integration tests", () => {
 
     const standardRetriever = await vectorStore.asRetriever();
 
-    const standardRetrieverOutput =
-      await standardRetriever.invoke("foo");
+    const standardRetrieverOutput = await standardRetriever.invoke("foo");
     expect(output).toHaveLength(texts.length);
 
     const standardRetrieverActual = standardRetrieverOutput.map(

diff --git a/libs/langchain-community/src/vectorstores/tests/azure_cosmosdb.int.test.ts b/libs/langchain-community/src/vectorstores/tests/azure_cosmosdb.int.test.ts
@@ -135,8 +135,7 @@ describe.skip("AzureCosmosDBVectorStore", () => {
 
     const standardRetriever = await vectorStore.asRetriever();
 
-    const standardRetrieverOutput =
-      await standardRetriever.invoke("foo");
+    const standardRetrieverOutput = await standardRetriever.invoke("foo");
     expect(output).toHaveLength(texts.length);
 
     const standardRetrieverActual = standardRetrieverOutput.map(

diff --git a/libs/langchain-community/src/vectorstores/tests/hanavector.int.test.ts b/libs/langchain-community/src/vectorstores/tests/hanavector.int.test.ts
@@ -327,8 +327,7 @@ describe("add documents and similarity search tests", () => {
 
     const standardRetriever = vectorStore.asRetriever();
 
-    const standardRetrieverOutput =
-      await standardRetriever.invoke("foo");
+    const standardRetrieverOutput = await standardRetriever.invoke("foo");
     expect(output).toHaveLength(texts.length);
 
     const standardRetrieverActual = standardRetrieverOutput.map(

diff --git a/libs/langchain-mongodb/src/tests/vectorstores.int.test.ts b/libs/langchain-mongodb/src/tests/vectorstores.int.test.ts
@@ -141,8 +141,7 @@ test("MongoDBAtlasVectorSearch with Maximal Marginal Relevance", async () => {
 
     const standardRetriever = await vectorStore.asRetriever();
 
-    const standardRetrieverOutput =
-      await standardRetriever.invoke("foo");
+    const standardRetrieverOutput = await standardRetriever.invoke("foo");
     expect(output).toHaveLength(texts.length);
 
     const standardRetrieverActual = standardRetrieverOutput.map(