fix(ci): Fix npm community install test

dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_npm.js

@@ -3,8 +3,8 @@ const fs = require("fs");
 const communityPackageJsonPath = "/app/monorepo/libs/langchain-community/package.json";
 const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
 
-if (currentPackageJson.devDependencies["@langchain/core"]) {
-  delete currentPackageJson.devDependencies["@langchain/core"];
+if (currentPackageJson.devDependencies) {
+  delete currentPackageJson.devDependencies;
 }
 
 fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));

dependency_range_tests/scripts/with_standard_tests/community/npm-install.sh

@@ -25,6 +25,5 @@ node "update_resolutions_npm.js"
 
 # Navigate back to monorepo root and install dependencies
 cd "$monorepo_dir"
-npm install @langchain/core
-npm install
-
+npm install @langchain/core --production
+npm install --production

docs/core_docs/docs/integrations/llms/raycast.mdx

@@ -17,9 +17,18 @@ npm install @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
-import RaycastAIExample from "@examples/models/llm/raycast.ts";
 
-<CodeBlock language="typescript">{RaycastAIExample}</CodeBlock>
+```ts
+import { RaycastAI } from "@langchain/community/llms/raycast";
+
+import { Tool } from "@langchain/core/tools";
+
+const model = new RaycastAI({
+  rateLimitPerMinute: 10, // It is 10 by default so you can omit this line
+  model: "<model_name>",
+  creativity: 0, // `creativity` is a term used by Raycast which is equivalent to `temperature` in some other LLMs
+});
+```
 
 ## Related
 

docs/core_docs/docs/integrations/vectorstores/couchbase.mdx

@@ -178,11 +178,77 @@ chunk the text into 500 character chunks with no overlaps and index all these ch
 
 After the data is indexed, we perform a simple query to find the top 4 chunks that are similar to the
 query "What did president say about Ketanji Brown Jackson".
-At the emd, also shows how to get similarity score
+At the end, it also shows how to get similarity score
+
+```ts
+import { OpenAIEmbeddings } from "@langchain/openai";
+import {
+  CouchbaseVectorStoreArgs,
+  CouchbaseVectorStore,
+} from "@langchain/community/vectorstores/couchbase";
+import { Cluster } from "couchbase";
+import { TextLoader } from "langchain/document_loaders/fs/text";
+import { CharacterTextSplitter } from "@langchain/textsplitters";
+
+const connectionString =
+  process.env.COUCHBASE_DB_CONN_STR ?? "couchbase://localhost";
+const databaseUsername = process.env.COUCHBASE_DB_USERNAME ?? "Administrator";
+const databasePassword = process.env.COUCHBASE_DB_PASSWORD ?? "Password";
+
+// Load documents from file
+const loader = new TextLoader("./state_of_the_union.txt");
+const rawDocuments = await loader.load();
+const splitter = new CharacterTextSplitter({
+  chunkSize: 500,
+  chunkOverlap: 0,
+});
+const docs = await splitter.splitDocuments(rawDocuments);
+
+const couchbaseClient = await Cluster.connect(connectionString, {
+  username: databaseUsername,
+  password: databasePassword,
+  configProfile: "wanDevelopment",
+});
+
+// Open AI API Key is required to use OpenAIEmbeddings, some other embeddings may also be used
+const embeddings = new OpenAIEmbeddings({
+  apiKey: process.env.OPENAI_API_KEY,
+});
+
+const couchbaseConfig: CouchbaseVectorStoreArgs = {
+  cluster: couchbaseClient,
+  bucketName: "testing",
+  scopeName: "_default",
+  collectionName: "_default",
+  indexName: "vector-index",
+  textKey: "text",
+  embeddingKey: "embedding",
+};
+
+const store = await CouchbaseVectorStore.fromDocuments(
+  docs,
+  embeddings,
+  couchbaseConfig
+);
 
-import SimilaritySearch from "@examples/indexes/vector_stores/couchbase/similaritySearch.ts";
+const query = "What did president say about Ketanji Brown Jackson";
 
-<CodeBlock language="typescript">{SimilaritySearch}</CodeBlock>
+const resultsSimilaritySearch = await store.similaritySearch(query);
+console.log("resulting documents: ", resultsSimilaritySearch[0]);
+
+// Similarity Search With Score
+const resultsSimilaritySearchWithScore = await store.similaritySearchWithScore(
+  query,
+  1
+);
+console.log("resulting documents: ", resultsSimilaritySearchWithScore[0][0]);
+console.log("resulting scores: ", resultsSimilaritySearchWithScore[0][1]);
+
+const result = await store.similaritySearch(query, 1, {
+  fields: ["metadata.source"],
+});
+console.log(result[0]);
+```
 
 ## Specifying Fields to Return
 

examples/package.json

@@ -68,7 +68,6 @@
     "@planetscale/database": "^1.8.0",
     "@prisma/client": "^4.11.0",
     "@qdrant/js-client-rest": "^1.9.0",
-    "@raycast/api": "^1.55.2",
     "@rockset/client": "^0.9.1",
     "@supabase/supabase-js": "^2.45.0",
     "@tensorflow/tfjs-backend-cpu": "^4.4.0",
@@ -80,7 +79,6 @@
     "axios": "^0.26.0",
     "chromadb": "^1.5.3",
     "convex": "^1.3.1",
-    "couchbase": "^4.3.0",
     "date-fns": "^3.3.1",
     "duck-duck-scrape": "^2.2.5",
     "exa-js": "^1.0.12",

libs/langchain-community/package.json

@@ -92,7 +92,7 @@
     "@planetscale/database": "^1.8.0",
     "@premai/prem-sdk": "^0.3.25",
     "@qdrant/js-client-rest": "^1.8.2",
-    "@raycast/api": "^1.55.2",
+    "@raycast/api": "^1.83.1",
     "@rockset/client": "^0.9.1",
     "@smithy/eventstream-codec": "^2.0.5",
     "@smithy/protocol-http": "^3.0.6",
@@ -184,7 +184,7 @@
     "mongodb": "^5.2.0",
     "mysql2": "^3.9.8",
     "neo4j-driver": "^5.17.0",
-    "node-llama-cpp": "2.7.3",
+    "node-llama-cpp": "^2",
     "notion-to-md": "^3.1.0",
     "officeparser": "^4.0.4",
     "pdf-parse": "1.1.1",
@@ -286,7 +286,6 @@
     "closevector-web": "0.1.6",
     "cohere-ai": "*",
     "convex": "^1.3.1",
-    "couchbase": "^4.3.0",
     "crypto-js": "^4.2.0",
     "d3-dsv": "^2.0.0",
     "discord.js": "^14.14.1",
@@ -312,7 +311,6 @@
     "mongodb": ">=5.2.0",
     "mysql2": "^3.9.8",
     "neo4j-driver": "*",
-    "node-llama-cpp": "*",
     "notion-to-md": "^3.1.0",
     "officeparser": "^4.0.4",
     "pdf-parse": "1.1.1",
@@ -549,9 +547,6 @@
     "convex": {
       "optional": true
     },
-    "couchbase": {
-      "optional": true
-    },
     "crypto-js": {
       "optional": true
     },
@@ -627,9 +622,6 @@
     "neo4j-driver": {
       "optional": true
     },
-    "node-llama-cpp": {
-      "optional": true
-    },
     "notion-to-md": {
       "optional": true
     },

libs/langchain-community/src/chat_models/llama_cpp.ts

@@ -1,3 +1,4 @@
+/* eslint-disable import/no-extraneous-dependencies */
 import {
   LlamaModel,
   LlamaContext,

libs/langchain-community/src/document_loaders/web/couchbase.ts

@@ -1,3 +1,4 @@
+/* eslint-disable import/no-extraneous-dependencies */
 import { Cluster, QueryResult } from "couchbase";
 import { Document } from "@langchain/core/documents";
 import {

libs/langchain-community/src/embeddings/llama_cpp.ts

@@ -1,3 +1,4 @@
+/* eslint-disable import/no-extraneous-dependencies */
 import { LlamaModel, LlamaContext } from "node-llama-cpp";
 import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
 import {

libs/langchain-community/src/llms/llama_cpp.ts

@@ -1,3 +1,4 @@
+/* eslint-disable import/no-extraneous-dependencies */
 import {
   LlamaModel,
   LlamaContext,

libs/langchain-community/src/llms/raycast.ts

@@ -53,7 +53,11 @@ export class RaycastAI extends LLM implements RaycastAIInput {
       throw new Error("Raycast AI environment is not accessible.");
     }
 
-    this.model = fields.model ?? "text-davinci-003";
+    if (fields.model === undefined) {
+      throw new Error(`You must provide a "model" field in your params.`);
+    }
+
+    this.model = fields.model;
     this.creativity = fields.creativity ?? 0.5;
     this.rateLimitPerMinute = fields.rateLimitPerMinute ?? 10;
   }

libs/langchain-community/src/utils/llama_cpp.ts

@@ -1,3 +1,4 @@
+/* eslint-disable import/no-extraneous-dependencies */
 import {
   LlamaModel,
   LlamaContext,

libs/langchain-community/src/vectorstores/couchbase.ts

@@ -1,5 +1,6 @@
 /* eslint-disable no-param-reassign */
 /* eslint-disable @typescript-eslint/no-explicit-any */
+/* eslint-disable import/no-extraneous-dependencies */
 import { EmbeddingsInterface } from "@langchain/core/embeddings";
 import { VectorStore } from "@langchain/core/vectorstores";
 import {