Please refer to the Oracle AI Vector Search Guide book for complete information about these Faiss. Open in Github. - GitHub - easonlai/azure_openai_langchain_sample: This repository contains various examples of how to use LangChain, a way to use natural language to interact with LLM, a large The latest and most popular OpenAI models are chat completion models. Create environment variables for your resource endpoint and API key. 5” models. To test the chatbot at a lower cost, you can use this lightweight CSV file: fishfry-locations. Azure OpenAI Service provides REST API access to OpenAI's powerful language models including the GPT-4, GPT-3. openai import OpenAIEmbeddings embeddings_model = "text-embedding-3-small" Jul 10, 2024 · It is used to query the vector embeddings (lists of numbers) of your data that you created by using a machine learning model by using an embeddings API. Python 3. We'll use an embedding model from Azure OpenAI to turn our documents into embeddings stored in the Azure AI Search vector store. 5 days ago · OpenAI embedding models. Azure Cosmos DB for MongoDB vCore makes it easy to create a database with full native MongoDB support. If you are interested for RAG over Azure OpenAI Service offers pricing based on both Pay-As-You-Go and Provisioned Throughput Units (PTUs). The OpenAI API is powered by a diverse set of models with different capabilities and price points. We'll be using Python SDK to create our copilot for the Contoso outdoor/camping gear AI Chat application. Apr 19, 2023 · 基本的なチャット形式の対話を実現するサンプル。. Check out AgentGPT, a great example of this. May 16, 2023 · はじめに. We'll also set the index name to langchain-vector-demo. Mar 27, 2023 · If you have already saved your embeddings to vector database, then it is the time to run queries on them. 最後にはPDFの質疑応答タスクについて、実装方法を解説します。. 📄️ Baichuan Text Embeddings. The OpenAIEmbeddings class uses the OpenAI API to create embeddings. To get an embedding, send your text string to the embeddings API endpoint along with the embedding model name (e. OpenAI offers a spectrum of models with different levels of power suitable for different tasks. GPT4All is a free-to-use, locally running, privacy-aware chatbot. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. The input_keys property stores the input to the custom chain, while the output_keys stores the output of your custom chain. In this quickstart we'll show you how to build a simple LLM application with LangChain. load text. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. retrieval_query. The control plane also governs what is possible to do with capabilities like Azure Resource Manager, Bicep, Terraform, and Configuring them for Azure OpenAI endpoints ¶. There are other embedding models available, such as the Davinci model and a few others. Copy & Paste each details (API Key, Instance & Deployment name, API Version) into Azure OpenAI Embeddings credential. Ragas also uses AzureOpenAI for running some metrics so make sure you have your Azure OpenAI key, base URL and other information available in your environment. Finally, set the OPENAI_API_KEY environment variable to the token value. Check this video, to know more about how we can que The base Embeddings class in LangChain provides two methods: one for embedding documents and one for embedding a query. You can apply your MongoDB experience and continue to use your favorite MongoDB drivers, SDKs, and tools by pointing your application to the API for MongoDB vCore account’s connection string. OpenAIEmbeddings. All functionality related to Microsoft Azure and other Microsoft products. To access AzureOpenAI models you'll need to create an Azure account, create a deployment of an Azure OpenAI model, get the name and endpoint for your deployment, get an Azure OpenAI API key, and install the langchain-openai integration package. The response will contain an embedding (list of floating point numbers), which you can extract, save in a vector database, and use for many different use cases: Example: Getting Mar 14, 2024 · In this blog series, I’ll guide you through Langchain and Azure OpenAI, with hands-on creation of a real-time application. Here we use OpenAI’s embeddings and a FAISS vectorstore. Apr 3, 2023 · In this blog post, we discussed how we can use LangChain, Azure OpenAI Service, and Faiss to build a ChatGPT-like experience, but over private data. 0. Its creator, Harrison Chase, made the first commit in late October 2022. js supports integration with Azure OpenAI using either the dedicated Azure OpenAI SDK or the OpenAI SDK. Note: Here we focus on Q&A for unstructured data. Multi-Modal LLM using Google's Gemini model for image understanding and build Retrieval Augmented Generation with LlamaIndex. Description. Welcome to our This is done so that we can use the embeddings to find only the most relevant pieces of text to send to the language model. Grab one of the keys, you don’t need both. 8+ Azure Functions Dec 1, 2023 · Azure OpenAI. embeddings. Sep 29, 2023 · Fayaz Rahman. Jun 1, 2023 · How LangChain Works With OpenAI's LLMs. It creates an AzureOpenAIEmbeddings configured to use the embeddings model in the Azure OpenAI Service to create embeddings from text chunks. Define input_keys and output_keys properties. sidebar. ""Use the following pieces of retrieved context to answer ""the question. Faiss documentation. Connect Credential > click Create New. Examples of embeddings APIs are Azure OpenAI Embeddings or Hugging Face on Azure. How to get embeddings. To use, you should have the environment variable OPENAI_API_KEY set with your API key or pass it as a named parameter to the constructor. The messages parameter takes an array of message objects with a conversation organized by role. Demos and samples target the text-embedding-ada-002. js supported integration with Azure OpenAI using the dedicated Azure OpenAI SDK. The latest most capable Azure OpenAI models with multimodal versions, which can accept both text and images as input. In VS code, click on Select Kernel. OpenAI released their next-generation text embedding model and the next generation of “GPT-3. We used embeddings and Faiss to enable the document retrieval step and then used the gpt-3. # Define the path to the pre Azure OpenAI is a cloud service to help you quickly develop generative AI experiences with a diverse set of prebuilt and curated models from OpenAI, Meta and beyond. classification. If we wanted to change either the embeddings used or the vectorstore used, this is where we would change them. vectorstores import FAISS. 5. Here we use the Azure OpenAI embeddings for the cloud deployment, and the Ollama embeddings for the local Apr 10, 2024 · Now is the most important part: we generate the embeddings for each chunk of text and store them in the database. You can learn more about Azure OpenAI and its difference with the Jan 8, 2023 · Walkthrough of the latest Azure OpenAI tutorial on using embeddings & cosine similarity for text search. Multi-Modal LLM using DashScope qwen-vl model for image reasoning. One of the ways to optimize cost and performance of Large Language Models (LLMs) is to cache the responses from LLMs, this is sometimes referred to as “semantic caching”. Pay-As-You-Go allows you to pay for the resources you consume, making it flexible for variable workloads. ※2023/04/19時点ではバグで全部0となってしまうようだ。. import tempfile. 本記事は 23年5月16日時点の情報 に基づいて、記事を Azure AI Search (formerly known as Azure Search and Azure Cognitive Search) is a cloud search service that gives developers infrastructure, APIs, and tools for information retrieval of vector, keyword, and hybrid queries at scale. neo4j_vector import Neo4jVector from langchain. retrieval_document. In this blog, we will discuss the approaches, benefits, common scenarios and key considerations for The Embeddings class is a class designed for interfacing with text embedding models. Not applicable to Azure OpenAI, where deployment information should be included in the Azure resource URI that's connected to. It enhances user comprehension, expedites task completion, improves operational efficiency, and aids decision-making. First, open the Azure portal, and click on the “Create a resource” button as depicted below: Step 2. Vector search measures the distance between the data vectors and your query vector. text-embedding-3-small ). Here we use the Azure OpenAI embeddings for the cloud deployment, and the Ollama embeddings for the local The model name to provide as part of this embeddings request. LangChain has a number of components designed to help build Q&A applications, and RAG applications more generally. To proceed, follow the steps below: Step 1. embeddings import HuggingFaceBgeEmbeddings. Use vector search in Azure Cosmos DB for MongoDB vCore to seamlessly integrate your AI-based Dec 8, 2023 · この記事の内容. There is no GPU or internet required. Text 2: OpenAI has trained cutting-edge language models that are very good at understanding and generating text. base module. This is useful because it means we can think Jan 6, 2024 · You can use LangChain Embeddings to convert email text into numerical form and then use a classification algorithm to identify spam or not-spam. You'll use embeddings generated by Azure OpenAI Service and the built-in vector search capabilities of the Enterprise tier of Azure Cache for Redis to query a dataset of movies to find the most relevant match. In the search box, type “Azure OpenAI” and press enter. May 17, 2023 · LangChain provides multiple classes for generating embeddings, each integrating with a different model provider. The Azure OpenAI client library for JavaScript is an adaptation of OpenAI's REST APIs that provides an idiomatic interface and rich integration with the rest of the Azure SDK ecosystem. We Nov 15, 2023 · Integrated Loaders: LangChain offers a wide variety of custom loaders to directly load data from your apps (such as Slack, Sigma, Notion, Confluence, Google Drive and many more) and databases and use them in LLM applications. We’ll also look into an upcoming paradigm that is gaining rapid adoption called "retrieval-augmented generation" (RAG). Azure OpenAI: Azure OpenAI provides embedding models and chat models. g. You can check the langchain docs or the Azure docs for more information. 123 Knowledge Base: Create a knowledge base of "Stuff You Should Know" podcast episodes, to be accessed through a tool. Open your OpenAI resource, and select “Keys and Endpoint” in the left-hand navigation. From a mathematic perspective, cosine similarity measures the cosine of the angle between two vectors projected in a multidimensional space. Once you've May 21, 2024 · If you have a LangChain code that consumes the AzureOpenAI model, you can replace the environment variables with the corresponding key in the Azure OpenAI connection: Import library from promptflow. A simple web application for a OpenAI-enabled document search. Unless you are specifically using gpt-3. Stay with me on this practical learning journey!🤝🏼 Grab your This notebook covers how to get started with open source embedding models hosted in the Together AI API. 何番煎じか分かりませんが、今回はLangChainとAzure OpenAI版ChatGPTの連携部分について、Pythonでの実装方法を解説していきます。. The format of a basic chat completion is: Apr 9, 2023 · This code will get embeddings from the OpenAI API and store them in Pinecone. Model availability varies by region. This class combines a Large Language Model (LLM) with a vector database to answer questions based on the content 2 days ago · Azure OpenAI Service is powered by a diverse set of models with different capabilities and price points. Initialize a Deep Lake vector store with LangChain. Alternatively, in most IDEs such as Visual Studio Code, you can create an . This notebook shows how to implement a question answering system with LangChain, Deep Lake as a vector store and OpenAI embeddings. Voila 🎉, you have created Azure OpenAI Embeddings node in Flowise. Mar 28, 2024 · LangChain with Azure OpenAI and ChatGPT (Python v2 Function) This sample shows how to take a human prompt as HTTP Get or Post input, calculates the completions using chains of human input and templates. Facebook AI Similarity Search (Faiss) is a library for efficient similarity search and clustering of dense vectors. Azure OpenAI Service provides access to OpenAI's models including the GPT-4, GPT-4 Turbo with Vision, GPT-3. connections import AzureOpenAIConnection. For answering the question of a user, it retrieves Apr 13, 2023 · In this video, we're going to explore the core concepts of LangChain and understand how the framework can be used to build your own large language model appl To use AAD in Python with LangChain, install the azure-identity package. Chat Models Azure OpenAI Microsoft Azure, often referred to as Azure is a cloud computing platform run by Microsoft, which offers access, management, and development of applications and services through global data centers. You can run the following command to spin up a a postgres container with the pgvector extension: docker run --name pgvector-container -e POSTGRES_USER=langchain -e POSTGRES_PASSWORD=langchain -e POSTGRES_DB=langchain -p 6024:5432 -d pgvector/pgvector:pg16. Azure Cosmos DB Mongo vCore. ipynbnotebook in the visual studio code (VS code) editor. It will open a page displaying various resources. This walkthrough uses the FAISS vector database, which makes use of the Facebook AI Similarity Search (FAISS) library. It can connect to Azure OpenAI resources or to the non-Azure OpenAI inference endpoint, making it a great choice for even non-Azure OpenAI Apr 10, 2024 · Now is the most important part: we generate the embeddings for each chunk of text and store them in the database. Jan 8, 2024 · In this sample, I demonstrate how to quickly build chat applications using Python and leveraging powerful technologies such as OpenAI ChatGPT models, Embedding models, LangChain framework, ChromaDB vector database, and Chainlit, an open-source Python package that is specifically designed to create user interfaces (UIs) for AI applications. LangChain appeared around the same time. I am able to follow the above sequence. This notebook shows how to use BGE Embeddings through Hugging Face. Learn more about the underlying models that power Azure OpenAI. We will take the following steps to achieve this: Load a Deep Lake text dataset. Keywords 1: Stripe, payment processing, APIs, web developers, websites, mobile applications. This is a starting point that can be used for more sophisticated chains. Then, copy the API key and index name. combine_documents import create_stuff_documents_chain from langchain_core. After all these giant leaps forward in the LLM space, OpenAI released ChatGPT — thrusting LLMs into the spotlight. This is the easiest and fastest approach for chatting with your data. Langchain. This is done with the following lines. This measurement is beneficial, because if two documents are far apart by Euclidean distance because In this video you will learn to create a Langchain App to chat with multiple PDF files using the ChatGPT API and Huggingface Language Models. user_api_key = st. Let's load the Azure OpenAI Embedding class with environment variables set to indicate to use Azure endpoints. chains. The reason for having these as two separate methods is that some embedding providers have different embedding methods for documents (to be With the text-embedding-3 class of models, you can specify the size of the embeddings you want returned. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Add text to the vector store. Using OpenAI API to generate react code with Langchain . ##. To instantiate a vector store, we often need to provide an embedding model to specify how text should be converted into a numeric vector. Models. Expand table. " story2 = "One day, while Sarah was playing in Mar 14, 2024 · Open the copilot with Jupiter notebook . It creates a ChromaDB vector database using the OpenAIEmbeddings object, the text chunks list, and the metadata list. Embeddings create a vector representation of a piece of text. Introduction video. GoogleGenerativeAIEmbeddings optionally support a task_type, which currently must be one of: task_type_unspecified. For custom connection, you need to follow the steps: Dec 8, 2023 · It's important to note that Langchain adds a pre-processing step, so the embeddings will slightly differ from those generated directly with the OpenAI embeddings API. env file at the root of your repo containing OPENAI_API_KEY=<your API key>, which will be picked up by the notebooks. Jul 7, 2023 · As per the tutorial following steps are performed. Below are a couple of examples to illustrate this -. js abstracts a lot of the complexity here, allowing us to switch between different embeddings models easily. Still, this is a great way to get started with LangChain - a lot of features can be built with just some prompting and an LLM call! OpenAI conducts AI research with the declared intention of promoting and developing a friendly AI. This video is based on the following article:https:/ Azure OpenAI shares a common control plane with all other Azure AI Services. But basically you need the following information. 5-turbo-instruct , you are probably looking for this page instead . Dec 11, 2023 · Chroma: One of the best vector databases to use with LangChain for storing embeddings. 5-turbo model to generate an answer from the retrieved documents. Let's load the LocalAI Embedding class. This SDK is now deprecated in favor of the new Azure integration in the OpenAI SDK, which allows to access the latest OpenAI models and features the same day they are released, and allows seemless transition between the OpenAI API and May 9, 2024 · The goal of this tutorial is to provide an overview of the key-concepts of Atlas Vector Search as a vector store, and LLMs and their limitations. The Azure OpenAI API is compatible with OpenAI's API. split text. Credentials Head to the Azure docs to create your deployment and generate an API key. You can use any of them, but I have used here “HuggingFaceEmbeddings ”. The autoreload extension is already loaded. clustering. callbacks import 3 days ago · This can include when using Azure embeddings or when using one of the many model providers that expose an OpenAI-like API but with different models. LLM Agent with Tools: Extend the agent with access to multiple tools and test that it uses them to answer questions. Create embedding using OpenAI Embedding API. Save Chroma DB to disk. Sep 29, 2023. LangChain. Apr 10, 2024 · OpenAI trained the GPT-35-Turbo and GPT-4 models to accept input formatted as a conversation. The users can load an ONNX embedding model to Oracle Database and use it to generate embeddings or use some 3rd party API's end points to generate embeddings. We used embeddings and Azure Cognitive Search to enable the document retrieval step and then used the gpt-3. In this tutorial, see how you can pair it with a great storage option for your vector embeddings using the open-source Chroma DB. Sep 27, 2023 · In this article. Add a vector field in your index definition in Cognitive Search. However, text-embedding-ada-002 offers higher accuracy in most processes and is considerably Jul 27, 2023 · In this blog post, we discussed how we can use Azure Cognitive Search, LangChain, and Azure OpenAI Service to build a ChatGPT-like experience, but over private data. The openai Python package makes it easy to use both OpenAI and Azure OpenAI. vectorstores. LangChain also allows you to create apps that can take actions – such as surf the web, send emails, and complete other API-related tasks. Flowise. In this tutorial, you'll walk through a basic vector similarity search use-case. Load the embedding into Chroma vector DB. To provide question-answering capabilities based on our embeddings, we will use the VectorDBQAChain class from the langchain/chains package. Next, use the DefaultAzureCredential class to get a token from AAD by calling get_token as shown below. This will create a new vector store associated with that index name. %load_ext autoreload %autoreload 2. csv. When you use the Python API, a list of dictionaries is used. By using this model, you can find the most relevant documents at a much lower cost. The complete list is here. We want to use OpenAIEmbeddings so we have to get the OpenAI API Key. BAAI is a private non-profit organization engaged in AI research and development. prompts import ChatPromptTemplate system_prompt = ("You are an assistant for question-answering tasks. This tutorial walks you through fine-tuning a gpt-35-turbo-0613 model. Example. Prepare your sample training and validation datasets for fine-tuning. In those cases, in order to avoid erroring when tiktoken is called, you can specify a model name to use here. GPT-4o & GPT-4 Turbo. We will also briefly discuss the LangChain framework, OpenAI models, and Gradio. Aug 17, 2023 · Since Cognitive Search doesn't generate embeddings at this time, your solution should include calls to an Azure OpenAI embedding model (or other embedding model) to create a vector representation of various content types (e. Mar 20, 2024 · Learn more about using Azure OpenAI and embeddings to perform document search with our embeddings tutorial. Mar 25, 2023 · In next articles, I will dwell on some nice capabilities of Azure OpenAI combined with LangChain, so stay tuned!📢 References Welcome to LangChain — 🦜🔗 LangChain 0. There are lots of embedding model providers (OpenAI, Cohere, Hugging Face, etc) - this class is designed to provide a standard interface for all of them. Here's an example of how to use Azure's OpenAI API key: Apr 13, 2023 · from langchain. There you’ll find your endpoint and the two keys. openai import Use this article to learn about Azure OpenAI On Your Data, which makes it easier for developers to connect, ingest and ground their enterprise data to create personalized copilots (preview) rapidly. Jun 9, 2023 · OpenAI has a model called text-embedding-ada-002 for text embedding purposes. text_input(. She lived with her family in a small village near the woods. Introduction. Next, go to the and create a new index with dimension=1536 called "langchain-test-index". from langchain_openai import AzureOpenAIEmbeddings openai = AzureOpenAIEmbeddings(model="text-embedding-3-large") Create a new model by parsing and validating input data from keyword arguments. PTUs, on the other hand, offer a predictable pricing model where you reserve and deploy a specific amount of model processing capacity . このチュートリアルでは、Azure OpenAI 埋め込み API を使って ドキュメント検索 を実行し、ナレッジ ベースにクエリを実行して最も関連性の高いドキュメントを見つける方法について説明します。. Users can access the service through REST APIs, Python SDK, or a web Multi-Modal LLM using Anthropic model for image reasoning. The code lives in an integration package called: langchain_postgres. OpenAI systems run on an Azure -based supercomputing platform from Microsoft. 3 days ago · To use, you should have the environment variable AZURE_OPENAI_API_KEY set with your API key or pass it as a named parameter to the constructor. import openai. This notebook explains how to use GPT4All embeddings with LangChain. For example by default text-embedding-3-large returned embeddings of dimension 3072: len ( doc_result [ 0 ] ) Feb 5, 2024 · To utilize Azure’s OpenAI service, the initial step involves creating and deploying it. Let's begin by opening the copilot_langchain. The former takes as input multiple texts, while the latter takes a single text. Store your embeddings and perform vector (similarity) search using your choice of Azure service: Azure AI Search; Azure Cosmos DB for MongoDB vCore; Azure SQL Database In this article. model=azure_deployment, Here we will demonstrate usage of LangChain VectorStores using Chroma, which includes an in-memory implementation. 📄️ Baidu Qianfan Set an environment variable called OPENAI_API_KEY with your API key. Generate Embeddings. In order to use the library with Microsoft Azure endpoints, use AzureOpenAIEmbeddings. 5-Turbo, and Embeddings model series. It provides a range of capabilities, including info. story1 = "Once upon a time, there was a little girl named Sarah. semantic_similarity. There are many possible use-cases for this – here are just a few off the top of my head: Personal AI Email Assistant Apr 9, 2024 · Azure OpenAI Studio: In the chat with your data playground, Add your own data uses Azure AI Search for grounding data and conversational search. You can call Azure OpenAI the same way you call OpenAI with the exceptions noted below. , image, audio, text). from langchain_community. This repository contains various examples of how to use LangChain, a way to use natural language to interact with LLM, a large language model from Azure OpenAI Service. ChatGPT is the Artificial Intelligence (AI) chatbot developed by OpenAI. The LangChain framework allows you to build a RAG app easily. We ask the user to enter their OpenAI API key and download the CSV file on which the chatbot will be based. By default, we use retrieval_document in the embed_documents method and retrieval_query in the embed_query method. Run on your local environment Pre-reqs. This notebook goes over how to use Langchain with Azure OpenAI. Here we will use OpenAI embeddings. Brief Introduction into embeddings, vectorstorage opti Mar 5, 2024 · Azure OpenAI embeddings rely on cosine similarity to compute similarity between documents and a query. chains import create_retrieval_chain from langchain. In order to use the LocalAI Embedding class, you need to have the LocalAI service hosted somewhere and configure the embedding models. import os. chains. Apr 18, 2023 · Embeddings Tutorial using Azure OpenAI Service. Most code examples are written in Python, though the concepts can be applied in any Jul 8, 2023 · We’ll need to get the following information from the Azure OpenAI service: The first two items you can get from the Azure portal. You can either use OpenAI's API key or Azure's OpenAI API key. This application will translate text from English into another language. It also contains supporting code for evaluation and parameter tuning. Previously, LangChain. embeddings = AzureOpenAIEmbeddings(. Oct 13, 2023 · To do so, you must follow these steps: Create a class that inherits the Chain class from the langchain. This notebook shows you how to leverage this integrated vector database to store documents in collections, create indicies and perform vector search queries using approximate nearest neighbor algorithms such as COS (cosine distance), L2 (Euclidean distance), and IP (inner product) to locate documents close to the Azure OpenAI Service documentation. model_kwargs = {"device": "cpu"} The process of bringing the appropriate information and inserting it into the model prompt is known as Retrieval Augmented Generation (RAG). model_name = "BAAI/bge-small-en". Multi-Modal LLM using Azure OpenAI GPT-4V model for image reasoning. Oracle AI Vector Search provides a number of ways to generate embeddings. In this tutorial you learn how to: Create sample fine-tuning datasets. Apr 9, 2024 · Optimize Azure OpenAI Applications with Semantic Caching. from langchain_openai import OpenAIEmbeddings model = OpenAIEmbeddings(model="text Oct 16, 2023 · The Embeddings class of LangChain is designed for interfacing with text embedding models. Then, set OPENAI_API_TYPE to azure_ad. このチュートリアルでは、次の作業を行う May 18, 2023 · Do you want to know how to utilize Azure Cognitive Search With Azure OpenAI and Langchain, then check out this video to know more about it and understand how GPT4All. from langchain. Text 1: Stripe provides APIs that web developers can use to integrate payment processing into their websites and mobile applications. 5-Turbo, DALLE-3 and Embeddings model series with the security and enterprise capabilities of Azure. Initial Embedding Testing. チャット履歴を渡すこともできる。. As of today (Jan 25th, 2024) BaichuanTextEmbeddings ranks #1 in C-MTEB (Chinese Multi-Task Embedding Benchmark) leaderboard. It features popular models and its own models such as GPT4All Falcon, Wizard, etc. %pip install --upgrade --quiet sentence_transformers. Now I want to start from retrieving the saved embeddings from disk and then start with the question stuff, rather than 📄️ Azure OpenAI. Every morning Sarah would wake up early, get dressed, and go outside to play. Embeddings > drag Azure OpenAI Embeddings node. Introduction to Coding Langchain Javascript. get_openai_callbackを使えば使ったトークンやコストを取得することができる。. This is a relatively simple LLM application - it's just a single LLM call plus some prompting. The control plane API is used for things like creating Azure OpenAI resources, model deployment, and other higher level resource management tasks. fh gn eq dx kr nr hl sq wi xp