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a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml index a30637e0d..816f4738c 100644 --- a/src/backend/langflow/config.yaml +++ b/src/backend/langflow/config.yaml @@ -274,6 +274,8 @@ vectorstores: documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss" Pinecone: documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone" + ElasticsearchStore: + documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/elasticsearch" SupabaseVectorStore: documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase" MongoDBAtlasVectorSearch: diff --git a/src/backend/langflow/interface/initialize/vector_store.py b/src/backend/langflow/interface/initialize/vector_store.py index 0b5ade7c8..a0adf85e3 100644 --- a/src/backend/langflow/interface/initialize/vector_store.py +++ b/src/backend/langflow/interface/initialize/vector_store.py @@ -1,6 +1,7 @@ from typing import Any, Callable, Dict, Type from langchain.vectorstores import ( Pinecone, + ElasticsearchStore, Qdrant, Chroma, FAISS, @@ -226,11 +227,34 @@ def initialize_qdrant(class_object: Type[Qdrant], params: dict): return class_object.from_documents(**params) +def initialize_elasticsearch(class_object: Type[ElasticsearchStore], params: dict): + """Initialize elastic and return the class object""" + if "index_name" not in params: + raise ValueError("Elasticsearch Index must be provided in the params") + if "es_url" not in params: + raise ValueError("Elasticsearch URL must be provided in the params") + if not docs_in_params(params): + existing_index_params = { + "embedding": params.pop("embedding"), + } + if "index_name" in params: + existing_index_params["index_name"] = params.pop("index_name") + if "es_url" in params: + existing_index_params["es_url"] = params.pop("es_url") + + return class_object.from_existing_index(**existing_index_params) + # If there are docs in the params, create a new index + if "texts" in params: + params["documents"] = params.pop("texts") + return class_object.from_documents(**params) + + vecstore_initializer: Dict[str, Callable[[Type[Any], dict], Any]] = { "Pinecone": initialize_pinecone, "Chroma": initialize_chroma, "Qdrant": initialize_qdrant, "Weaviate": initialize_weaviate, + "ElasticsearchStore": initialize_elasticsearch, "FAISS": initialize_faiss, "SupabaseVectorStore": initialize_supabase, "MongoDBAtlasVectorSearch": initialize_mongodb, diff --git a/src/backend/langflow/template/frontend_node/vectorstores.py b/src/backend/langflow/template/frontend_node/vectorstores.py index 170c3c766..1f49f76a9 100644 --- a/src/backend/langflow/template/frontend_node/vectorstores.py +++ b/src/backend/langflow/template/frontend_node/vectorstores.py @@ -11,6 +11,7 @@ BASIC_FIELDS = [ "persist_directory", "persist", "weaviate_url", + "es_url", "index_name", "namespace", "folder_path", @@ -170,6 +171,33 @@ class VectorStoreFrontendNode(FrontendNode): value="", ) extra_fields.extend((extra_field, extra_field2)) + + elif self.template.type_name == "ElasticsearchStore": + # add elastic and elastic credentials + extra_field = TemplateField( + name="es_url", + field_type="str", + required=True, + placeholder="http://localhost:9200", + show=True, + advanced=False, + multiline=False, + value="http://localhost:9200", + display_name="Elasticsearch URL", + ) + extra_field2 = TemplateField( + name="index_name", + field_type="str", + required=True, + placeholder="test-index", + show=True, + advanced=False, + multiline=False, + value="test-index", + display_name="Index Name", + ) + extra_fields.extend((extra_field, extra_field2)) + elif self.template.type_name == "FAISS": extra_field = TemplateField( name="folder_path", diff --git a/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.jsx b/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.jsx new file mode 100644 index 000000000..bbf7c040a --- /dev/null +++ b/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.jsx @@ -0,0 +1,19 @@ +const SvgElasticsearchLogo = (props) => ( + + + + + +); +export default SvgElasticsearchLogo; diff --git a/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.svg b/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.svg new file mode 100644 index 000000000..39b7bf5fd --- /dev/null +++ b/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.svg @@ -0,0 +1,9 @@ + + + + + + + + + \ No newline at end of file diff --git a/src/frontend/src/icons/ElasticsearchStore/index.tsx b/src/frontend/src/icons/ElasticsearchStore/index.tsx new file mode 100644 index 000000000..12f2b95d7 --- /dev/null +++ b/src/frontend/src/icons/ElasticsearchStore/index.tsx @@ -0,0 +1,9 @@ +import React, { forwardRef } from "react"; +import SvgElasticsearchLogo from "./ElasticsearchLogo"; + +export const ElasticsearchIcon = forwardRef< + SVGSVGElement, + React.PropsWithChildren<{}> +>((props, ref) => { + return ; +}); diff --git a/src/frontend/src/utils/styleUtils.ts b/src/frontend/src/utils/styleUtils.ts index de71f11f3..82ff5fbf3 100644 --- a/src/frontend/src/utils/styleUtils.ts +++ b/src/frontend/src/utils/styleUtils.ts @@ -111,6 +111,7 @@ import { AnthropicIcon } from "../icons/Anthropic"; import { BingIcon } from "../icons/Bing"; import { ChromaIcon } from "../icons/ChromaIcon"; import { CohereIcon } from "../icons/Cohere"; +import { ElasticsearchIcon } from "../icons/ElasticsearchStore"; import { EvernoteIcon } from "../icons/Evernote"; import { FBIcon } from "../icons/FacebookMessenger"; import { GitBookIcon } from "../icons/GitBook"; @@ -256,6 +257,7 @@ export const nodeIconsLucide: iconsType = { OpenAIEmbeddings: OpenAiIcon, Pinecone: PineconeIcon, Qdrant: QDrantIcon, + ElasticsearchStore: ElasticsearchIcon, Weaviate: WeaviateIcon, Searx: SearxIcon, SlackDirectoryLoader: SvgSlackIcon, diff --git a/tests/test_endpoints.py b/tests/test_endpoints.py index 2e2a65b64..338224004 100644 --- a/tests/test_endpoints.py +++ b/tests/test_endpoints.py @@ -578,4 +578,4 @@ def test_async_task_processing_vector_store(client, added_vector_store, created_ # Validate that the task completed successfully and the result is as expected assert "result" in task_status_json, task_status_json assert "output" in task_status_json["result"], task_status_json["result"] - assert "Langflow" in task_status_json["result"]["output"], task_status_json["result"] \ No newline at end of file + assert "Langflow" in task_status_json["result"]["output"], task_status_json["result"]