langchain/docs/src/theme/FeatureTables.js

import React from "react";
import {useCurrentSidebarCategory} from '@docusaurus/theme-common';
import {
  useDocById,
} from '@docusaurus/plugin-content-docs/client';

const FEATURE_TABLES = {
    chat: {
        link: "/docs/integrations/chat",
        columns: [
            {title: "Provider", formatter: (item) => <a href={item.link}>{item.name}</a>},
            {title: <a href="/docs/how_to/tool_calling">Tool calling</a>, formatter: (item) => item.tool_calling ? "✅" : "❌"},
            {title: <a href="/docs/how_to/structured_output/">Structured output</a>, formatter: (item) => item.structured_output ? "✅" : "❌"},
            {title: "JSON mode", formatter: (item) => item.json_mode ? "✅" : "❌"},
            {title: "Local", formatter: (item) => item.local ? "✅" : "❌"},
            {title: <a href="/docs/how_to/multimodal_inputs/">Multimodal</a>, formatter: (item) => item.multimodal ? "✅" : "❌"},
            {title: "Package", formatter: (item) => <a href={item.apiLink}>{item.package}</a>},
        ],
        items: [
            {
                "name": "ChatAnthropic",
                "package": "langchain-anthropic",
                "link": "anthropic/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": false,
                "multimodal": true,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/anthropic/chat_models/langchain_anthropic.chat_models.ChatAnthropic.html"
            },
            {
                "name": "ChatMistralAI",
                "package": "langchain-mistralai",
                "link": "mistralai/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": false,
                "multimodal": false,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/mistralai/chat_models/langchain_mistralai.chat_models.ChatMistralAI.html"
            },
            {
                "name": "ChatFireworks",
                "package": "langchain-fireworks",
                "link": "fireworks/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": true,
                "multimodal": false,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/fireworks/chat_models/langchain_fireworks.chat_models.ChatFireworks.html"
            },
            {
                "name": "AzureChatOpenAI",
                "package": "langchain-openai",
                "link": "azure_chat_openai/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": true,
                "multimodal": true,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/openai/chat_models/langchain_openai.chat_models.azure.AzureChatOpenAI.html"
            },
            {
                "name": "ChatOpenAI",
                "package": "langchain-openai",
                "link": "openai/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": true,
                "multimodal": true,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/openai/chat_models/langchain_openai.chat_models.base.ChatOpenAI.html"
            },
            {
                "name": "ChatTogether",
                "package": "langchain-together",
                "link": "together/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": true,
                "multimodal": false,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/together/chat_models/langchain_together.chat_models.ChatTogether.html"
            },
            {
                "name": "ChatVertexAI",
                "package": "langchain-google-vertexai",
                "link": "google_vertex_ai_palm/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": false,
                "multimodal": true,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/google_vertexai/chat_models/langchain_google_vertexai.chat_models.ChatVertexAI.html"
            },
            {
                "name": "ChatGoogleGenerativeAI",
                "package": "langchain-google-genai",
                "link": "google_generative_ai/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": false,
                "multimodal": true,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/google_genai/chat_models/langchain_google_genai.chat_models.ChatGoogleGenerativeAI.html"
            },
            {
                "name": "ChatGroq",
                "package": "langchain-groq",
                "link": "groq/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": true,
                "multimodal": false,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/groq/chat_models/langchain_groq.chat_models.ChatGroq.html"
            },
            {
                "name": "ChatCohere",
                "package": "langchain-cohere",
                "link": "cohere/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": false,
                "multimodal": false,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/cohere/chat_models/langchain_cohere.chat_models.ChatCohere.html"
            },
            {
                "name": "ChatBedrock",
                "package": "langchain-aws",
                "link": "bedrock/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": false,
                "multimodal": false,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/aws/chat_models/langchain_aws.chat_models.bedrock.ChatBedrock.html"
            },
            {
                "name": "ChatHuggingFace",
                "package": "langchain-huggingface",
                "link": "huggingface/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": false,
                "multimodal": false,
                "local": true,
                "apiLink": "https://python.langchain.com/api_reference/huggingface/chat_models/langchain_huggingface.chat_models.huggingface.ChatHuggingFace.html",
            },
            {
                "name": "ChatNVIDIA",
                "package": "langchain-nvidia-ai-endpoints",
                "link": "nvidia_ai_endpoints/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": true,
                "multimodal": true,
                "local": true,
                "apiLink": "https://python.langchain.com/api_reference/nvidia_ai_endpoints/chat_models/langchain_nvidia_ai_endpoints.chat_models.ChatNVIDIA.html"
            },
            {
                "name": "ChatOllama",
                "package": "langchain-ollama",
                "link": "ollama/",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": true,
                "multimodal": false,
                "local": true,
                "apiLink": "https://python.langchain.com/api_reference/ollama/chat_models/langchain_ollama.chat_models.ChatOllama.html"
            },
            {
                "name": "ChatLlamaCpp",
                "package": "langchain-community",
                "link": "llamacpp",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": false,
                "multimodal": false,
                "local": true,
                "apiLink": "https://python.langchain.com/api_reference/community/chat_models/langchain_community.chat_models.llamacpp.ChatLlamaCpp.html"
            },
            {
                "name": "ChatAI21",
                "package": "langchain-ai21",
                "link": "ai21",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": false,
                "multimodal": false,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/ai21/chat_models/langchain_ai21.chat_models.ChatAI21.html"
            },
            {
                "name": "ChatUpstage",
                "package": "langchain-upstage",
                "link": "upstage",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": false,
                "multimodal": false,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/upstage/chat_models/langchain_upstage.chat_models.ChatUpstage.html"
            },
            {
                "name": "ChatDatabricks",
                "package": "databricks-langchain",
                "link": "databricks",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": false,
                "multimodal": false,
                "local": false,
                "apiLink": "https://api-docs.databricks.com/python/databricks-ai-bridge/latest/databricks_langchain.html#databricks_langchain.ChatDatabricks"
            },
            {
                "name": "ChatWatsonx",
                "package": "langchain-ibm",
                "link": "ibm_watsonx",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": true,
                "multimodal": false,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/ibm/chat_models/langchain_ibm.chat_models.ChatWatsonx.html"
            },
            {
                "name": "ChatXAI",
                "package": "langchain-xai",
                "link": "xai",
                "structured_output": true,
                "tool_calling": true,
                "json_mode": false,
                "multimodal": false,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/xai/chat_models/langchain_xai.chat_models.ChatXAI.html"
            },
            {
                "name": "ChatPerplexity",
                "package": "langchain-perplexity",
                "link": "perplexity",
                "structured_output": true,
                "tool_calling": false,
                "json_mode": true,
                "multimodal": true,
                "local": false,
                "apiLink": "https://python.langchain.com/api_reference/perplexity/chat_models/langchain_perplexity.chat_models.ChatPerplexity.html"
            }
        ],
    },
    llms: {
        link: "/docs/integrations/llms",
        columns: [
            {title: "Provider", formatter: (item) => <a href={
                item.link
            }>{item.name}</a>},
            {title: "Package", formatter: (item) => <a href={
                item.apiLink
            }>{item.package}</a>},
        ],
        items: [
            {
                name: "AI21LLM",
                link: "ai21",
                package: "langchain-ai21",
                apiLink: "https://python.langchain.com/api_reference/ai21/llms/langchain_ai21.llms.AI21LLM.html"
            },
            {
                name: "AnthropicLLM",
                link: "anthropic",
                package: "langchain-anthropic",
                apiLink: "https://python.langchain.com/api_reference/anthropic/llms/langchain_anthropic.llms.AnthropicLLM.html"
            },
            {
                name: "AzureOpenAI",
                link: "azure_openai",
                package: "langchain-openai",
                apiLink: "https://python.langchain.com/api_reference/openai/llms/langchain_openai.llms.azure.AzureOpenAI.html"
            },
            {
                name: "BedrockLLM",
                link: "bedrock",
                package: "langchain-aws",
                apiLink: "https://python.langchain.com/api_reference/aws/llms/langchain_aws.llms.bedrock.BedrockLLM.html"
            },
            {
                name: "CohereLLM",
                link: "cohere",
                package: "langchain-cohere",
                apiLink: "https://python.langchain.com/api_reference/cohere/llms/langchain_cohere.llms.Cohere.html"
            },
            {
                name: "FireworksLLM",
                link: "fireworks",
                package: "langchain-fireworks",
                apiLink: "https://python.langchain.com/api_reference/fireworks/llms/langchain_fireworks.llms.Fireworks.html"
            },
            {
                name: "OllamaLLM",
                link: "ollama",
                package: "langchain-ollama",
                apiLink: "https://python.langchain.com/api_reference/ollama/llms/langchain_ollama.llms.OllamaLLM.html"
            },
            {
                name: "OpenAILLM",
                link: "openai",
                package: "langchain-openai",
                apiLink: "https://python.langchain.com/api_reference/openai/llms/langchain_openai.llms.base.OpenAI.html"
            },
            {
                name: "TogetherLLM",
                link: "together",
                package: "langchain-together",
                apiLink: "https://python.langchain.com/api_reference/together/llms/langchain_together.llms.Together.html"
            },
            {
                name: "VertexAILLM",
                link: "google_vertexai",
                package: "langchain-google_vertexai",
                apiLink: "https://python.langchain.com/api_reference/google_vertexai/llms/langchain_google_vertexai.llms.VertexAI.html"
            },
            {
                name: "NVIDIA",
                link: "NVIDIA",
                package: "langchain-nvidia",
                apiLink: "https://python.langchain.com/api_reference/nvidia_ai_endpoints/llm/langchain_nvidia_ai_endpoints.llm.NVIDIA.html"
            },
        ],
    },
    text_embedding: {
        link: "/docs/integrations/text_embedding",
        columns: [
            {title: "Provider", formatter: (item) => <a href={item.link}>{item.name}</a>},
            {title: "Package", formatter: (item) => <a href={item.apiLink}>{item.package}</a>},
        ],
        items:[
            {
                name: "AzureOpenAI",
                link: "azureopenai",
                package: "langchain-openai",
                apiLink: "https://python.langchain.com/api_reference/openai/embeddings/langchain_openai.embeddings.azure.AzureOpenAIEmbeddings.html"
            },
            {
                name: "Ollama",
                link: "ollama",
                package: "langchain-ollama",
                apiLink: "https://python.langchain.com/api_reference/ollama/embeddings/langchain_ollama.embeddings.OllamaEmbeddings.html"
            },
            {
                name: "AI21",
                link: "ai21",
                package: "langchain-ai21",
                apiLink: "https://python.langchain.com/api_reference/ai21/embeddings/langchain_ai21.embeddings.AI21Embeddings.html"
            },
            {
                name: "Fake",
                link: "fake",
                package: "langchain-core",
                apiLink: "https://python.langchain.com/api_reference/core/embeddings/langchain_core.embeddings.fake.FakeEmbeddings.html"
            },
            {
                name: "OpenAI",
                link: "openai",
                package: "langchain-openai",
                apiLink: "https://python.langchain.com/api_reference/openai/chat_models/langchain_openai.chat_models.base.ChatOpenAI.html"
            },
            {
                name: "Google Gemini",
                link: "google-generative-ai",
                package: "langchain-google-genai",
                apiLink: "https://python.langchain.com/api_reference/google_genai/embeddings/langchain_google_genai.embeddings.GoogleGenerativeAIEmbeddings.html"
            },
            {
                name: "Together",
                link: "together",
                package: "langchain-together",
                apiLink: "https://python.langchain.com/api_reference/together/embeddings/langchain_together.embeddings.TogetherEmbeddings.html"
            },
            {
                name: "Fireworks",
                link: "fireworks",
                package: "langchain-fireworks",
                apiLink: "https://python.langchain.com/api_reference/fireworks/embeddings/langchain_fireworks.embeddings.FireworksEmbeddings.html"
            },
            {
                name: "MistralAI",
                link: "mistralai",
                package: "langchain-mistralai",
                apiLink: "https://python.langchain.com/api_reference/mistralai/embeddings/langchain_mistralai.embeddings.MistralAIEmbeddings.html"
            },
            {
                name: "Cohere",
                link: "cohere",
                package: "langchain-cohere",
                apiLink: "https://python.langchain.com/api_reference/cohere/embeddings/langchain_cohere.embeddings.CohereEmbeddings.html"
            },
            {
                name: "Nomic",
                link: "nomic",
                package: "langchain-nomic",
                apiLink: "https://python.langchain.com/api_reference/nomic/embeddings/langchain_nomic.embeddings.NomicEmbeddings.html"
            },
            {
                name: "Databricks",
                link: "databricks",
                package: "databricks-langchain",
                apiLink: "https://api-docs.databricks.com/python/databricks-ai-bridge/latest/databricks_langchain.html#databricks_langchain.DatabricksEmbeddings"
            },
            {
                name: "VoyageAI",
                link: "voyageai",
                package: "langchain-voyageai",
                apiLink: "https://python.langchain.com/api_reference/voyageai/embeddings/langchain_voyageai.embeddings.VoyageAIEmbeddings.html"
            },
            {
                name: "IBM",
                link: "ibm_watsonx",
                package: "langchain-ibm",
                apiLink: "https://python.langchain.com/api_reference/ibm/embeddings/langchain_ibm.embeddings.WatsonxEmbeddings.html"
            },
            {
                name: "NVIDIA",
                link: "nvidia_ai_endpoints",
                package: "langchain-nvidia",
                apiLink: "https://python.langchain.com/api_reference/nvidia_ai_endpoints/embeddings/langchain_nvidia_ai_endpoints.embeddings.NVIDIAEmbeddings.html"
            },
        ]
    },
    document_retrievers: {
        link: 'docs/integrations/retrievers',
        columns: [
            {title: "Retriever", formatter: (item) => <a href={item.link}>{item.name}</a>},
            {title: "Self-host", formatter: (item) => item.selfHost ? "✅" : "❌"},
            {title: "Cloud offering", formatter: (item) => item.cloudOffering ? "✅" : "❌"},
            {title: "Package", formatter: (item) => <a href={item.apiLink}>{item.package}</a>},
        ],
        items: [
            {
                name: "AmazonKnowledgeBasesRetriever",
                link: "bedrock",
                selfHost: false,
                cloudOffering: true,
                apiLink: "https://python.langchain.com/api_reference/aws/retrievers/langchain_aws.retrievers.bedrock.AmazonKnowledgeBasesRetriever.html",
                package: "langchain_aws"
            },
            {
                name: "AzureAISearchRetriever",
                link: "azure_ai_search",
                selfHost: false,
                cloudOffering: true,
                apiLink: "https://python.langchain.com/api_reference/community/retrievers/langchain_community.retrievers.azure_ai_search.AzureAISearchRetriever.html",
                package: "langchain_community"
            },
            {
                name: "ElasticsearchRetriever",
                link: "elasticsearch_retriever",
                selfHost: true,
                cloudOffering: true,
                apiLink: "https://python.langchain.com/api_reference/elasticsearch/retrievers/langchain_elasticsearch.retrievers.ElasticsearchRetriever.html",
                package: "langchain_elasticsearch"
            },
            {
                name: "MilvusCollectionHybridSearchRetriever",
                link: "milvus_hybrid_search",
                selfHost: true,
                cloudOffering: false,
                apiLink: "https://python.langchain.com/api_reference/milvus/retrievers/langchain_milvus.retrievers.milvus_hybrid_search.MilvusCollectionHybridSearchRetriever.html",
                package: "langchain_milvus"
            },
            {
                name: "VertexAISearchRetriever",
                link: "google_vertex_ai_search",
                selfHost: false,
                cloudOffering: true,
                apiLink: "https://python.langchain.com/api_reference/google_community/vertex_ai_search/langchain_google_community.vertex_ai_search.VertexAISearchRetriever.html",
                package: "langchain_google_community"
            }
        ],
    },
    external_retrievers: {
        link: 'docs/integrations/retrievers',
        columns: [
            {title: "Retriever", formatter: (item) => <a href={
                item.link
            }>{item.name}</a>},
            {title: "Source", formatter: (item) => item.source},
            {title: "Package", formatter: (item) => <a href={
                item.apiLink
            }>{item.package}</a>},
        ],
        items: [
            {
                name: "ArxivRetriever",
                link: "arxiv",
                source: (<>Scholarly articles on <a href="https://arxiv.org/">arxiv.org</a></>),
                apiLink: "https://python.langchain.com/api_reference/community/retrievers/langchain_community.retrievers.arxiv.ArxivRetriever.html",
                package: "langchain_community"
            },
            {
                name: "TavilySearchAPIRetriever",
                link: "tavily",
                source: "Internet search",
                apiLink: "https://python.langchain.com/api_reference/community/retrievers/langchain_community.retrievers.tavily_search_api.TavilySearchAPIRetriever.html",
                package: "langchain_community"
            },
            {
                name: "WikipediaRetriever",
                link: "wikipedia",
                source: (<><a href="https://www.wikipedia.org/">Wikipedia</a> articles</>),
                apiLink: "https://python.langchain.com/api_reference/community/retrievers/langchain_community.retrievers.wikipedia.WikipediaRetriever.html",
                package: "langchain_community"
            }
        ]

    },
    document_loaders: {
        link: 'docs/integrations/loaders',
        columns: [],
        items: [],
    },
    cloud_provider_loaders: {
        link: 'docs/integrations/loaders',
        columns: [
            {title: "Document Loader", formatter: (item) => <a href={
                item.link
            }>{item.name}</a>},
            {title: "Description", formatter: (item) => item.source},
            {title: "Partner Package", formatter: (item) => item.partnerPackage ? "✅" : "❌"},
            {title: "API reference", formatter: (item) => <a href={
                item.apiLink
            }>{item.loaderName}</a>},
        ],
        items: [
            {
                name: "AWS S3 Directory",
                link: "aws_s3_directory",
                source: "Load documents from an AWS S3 directory",
                partnerPackage: false,
                loaderName: "S3DirectoryLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.s3_directory.S3DirectoryLoader.html"
            },
            {
                name: "AWS S3 File",
                link: "aws_s3_file",
                source: "Load documents from an AWS S3 file",
                partnerPackage: false,
                loaderName: "S3FileLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.s3_file.S3FileLoader.html"
            },
            {
                name: "Azure AI Data",
                link: "azure_ai_data",
                source: "Load documents from Azure AI services",
                partnerPackage: false,
                loaderName: "AzureAIDataLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.azure_ai_data.AzureAIDataLoader.html"
            },
            {
                name: "Azure Blob Storage Container",
                link: "azure_blob_storage_container",
                source: "Load documents from an Azure Blob Storage container",
                partnerPackage: false,
                loaderName: "AzureBlobStorageContainerLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.azure_blob_storage_container.AzureBlobStorageContainerLoader.html"
            },
            {
                name: "Azure Blob Storage File",
                link: "azure_blob_storage_file",
                source: "Load documents from an Azure Blob Storage file",
                partnerPackage: false,
                loaderName: "AzureBlobStorageFileLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.azure_blob_storage_file.AzureBlobStorageFileLoader.html"
            },
            {
                name: "Dropbox",
                link: "dropbox",
                source: "Load documents from Dropbox",
                partnerPackage: false,
                loaderName: "DropboxLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.dropbox.DropboxLoader.html"
            },
            {
                name: "Google Cloud Storage Directory",
                link: "google_cloud_storage_directory",
                source: "Load documents from GCS bucket",
                partnerPackage: true,
                loaderName: "GCSDirectoryLoader",
                apiLink: "https://python.langchain.com/api_reference/google_community/gcs_directory/langchain_google_community.gcs_directory.GCSDirectoryLoader.html"
            },
            {
                name: "Google Cloud Storage File",
                link: "google_cloud_storage_file",
                source: "Load documents from GCS file object",
                partnerPackage: true,
                loaderName: "GCSFileLoader",
                apiLink: "https://python.langchain.com/api_reference/google_community/gcs_file/langchain_google_community.gcs_file.GCSFileLoader.html"
            },
            {
                name: "Google Drive",
                link: "google_drive",
                source: "Load documents from Google Drive (Google Docs only)",
                partnerPackage: true,
                loaderName: "GoogleDriveLoader",
                apiLink: "https://python.langchain.com/api_reference/google_community/drive/langchain_google_community.drive.GoogleDriveLoader.html"
            },
            {
                name: "Huawei OBS Directory",
                link: "huawei_obs_directory",
                source: "Load documents from Huawei Object Storage Service Directory",
                partnerPackage: false,
                loaderName: "OBSDirectoryLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.obs_directory.OBSDirectoryLoader.html"
            },
            {
                name: "Huawei OBS File",
                link: "huawei_obs_file",
                source: "Load documents from Huawei Object Storage Service File",
                partnerPackage: false,
                loaderName: "OBSFileLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.obs_file.OBSFileLoader.html"
            },
            {
                name: "Microsoft OneDrive",
                link: "microsoft_onedrive",
                source: "Load documents from Microsoft OneDrive",
                partnerPackage: false,
                loaderName: "OneDriveLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.onedrive.OneDriveLoader.html"
            },
            {
                name: "Microsoft SharePoint",
                link: "microsoft_sharepoint",
                source: "Load documents from Microsoft SharePoint",
                partnerPackage: false,
                loaderName: "SharePointLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.sharepoint.SharePointLoader.html"
            },
            {
                name: "Tencent COS Directory",
                link: "tencent_cos_directory",
                source: "Load documents from Tencent Cloud Object Storage Directory",
                partnerPackage: false,
                loaderName: "TencentCOSDirectoryLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.tencent_cos_directory.TencentCOSDirectoryLoader.html"
            },
            {
                name: "Tencent COS File",
                link: "tencent_cos_file",
                source: "Load documents from Tencent Cloud Object Storage File",
                partnerPackage: false,
                loaderName: "TencentCOSFileLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.tencent_cos_file.TencentCOSFileLoader.html"
            },
        ]
    },
    messaging_loaders: {
        link: 'docs/integrations/loaders',
        columns: [
            {title: "Document Loader", formatter: (item) => <a href={
                item.link
            }>{item.name}</a>},
            {title: "API reference", formatter: (item) => <a href={
                item.apiLink
            }>{item.loaderName}</a>},
        ],
        items: [
            {
                name: "Telegram",
                link: "telegram",
                loaderName: "TelegramChatFileLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.telegram.TelegramChatFileLoader.html"
            },
            {
                name: "WhatsApp",
                link: "whatsapp_chat",
                loaderName: "WhatsAppChatLoader",
                apiLink: "https://python.langchain.com/api_reference/community/chat_loaders/langchain_community.chat_loaders.whatsapp.WhatsAppChatLoader.html"
            },
            {
                name: "Discord",
                link: "discord",
                loaderName: "DiscordChatLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.discord.DiscordChatLoader.html"
            },
            {
                name: "Facebook Chat",
                link: "facebook_chat",
                loaderName: "FacebookChatLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.facebook_chat.FacebookChatLoader.html"
            },
            {
                name: "Mastodon",
                link: "mastodon",
                loaderName: "MastodonTootsLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.mastodon.MastodonTootsLoader.html"
            }
        ]
    },
    productivity_loaders: {
        link: 'docs/integrations/loaders',
        columns: [
            {title: "Document Loader", formatter: (item) => <a href={
                item.link
            }>{item.name}</a>},
            {title: "API reference", formatter: (item) => <a href={
                item.apiLink
            }>{item.loaderName}</a>},
        ],
        items: [
            {
                name: "Figma",
                link: "figma",
                loaderName: "FigmaFileLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.figma.FigmaFileLoader.html"
            },
            {
                name: "Notion",
                link: "notion",
                loaderName: "NotionDirectoryLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.notion.NotionDirectoryLoader.html"
            },
            {
                name: "Slack",
                link: "slack",
                loaderName: "SlackDirectoryLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.slack_directory.SlackDirectoryLoader.html"
            },
            {
                name: "Quip",
                link: "quip",
                loaderName: "QuipLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.quip.QuipLoader.html"
            },
            {
                name: "Trello",
                link: "trello",
                loaderName: "TrelloLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.trello.TrelloLoader.html"
            },
            {
                name: "Roam",
                link: "roam",
                loaderName: "RoamLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.roam.RoamLoader.html"
            },
            {
                name: "GitHub",
                link: "github",
                loaderName: "GithubFileLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.github.GithubFileLoader.html"
            }
        ]
    },
    social_loaders: {
        link: 'docs/integrations/loaders',
        columns: [
            {title: "Document Loader", formatter: (item) => <a href={
                item.link
            }>{item.name}</a>},
            {title: "API reference", formatter: (item) => <a href={
                item.apiLink
            }>{item.loaderName}</a>},
        ],
        items: [
            {
                name: "Twitter",
                link: "twitter",
                loaderName: "TwitterTweetLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.twitter.TwitterTweetLoader.html"
            },
            {
                name: "Reddit",
                link: "RedditPostsLoader",
                loaderName: "RedditPostsLoader",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.reddit.RedditPostsLoader.html"
            },
        ]
    },
    webpage_loaders: {
        link: 'docs/integrations/loaders',
        columns: [
            {title: "Document Loader", formatter: (item) => <a href={
                item.link
            }>{item.name}</a>},
            {title: "Description", formatter: (item) => item.source},
            {title: "Package/API", formatter: (item) => item.api},
        ],
        items: [
            {
                name: "Web",
                link: "web_base",
                source: "Uses urllib and BeautifulSoup to load and parse HTML web pages",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.web_base.WebBaseLoader.html"
            },
            {
                name: "Unstructured",
                link: "unstructured_file",
                source: "Uses Unstructured to load and parse web pages",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/unstructured/document_loaders/langchain_unstructured.document_loaders.UnstructuredLoader.html"
            },
            {
                name: "RecursiveURL",
                link: "recursive_url",
                source: "Recursively scrapes all child links from a root URL",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.recursive_url_loader.RecursiveUrlLoader.html"
            },
            {
                name: "Sitemap",
                link: "sitemap",
                source: "Scrapes all pages on a given sitemap",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.sitemap.SitemapLoader.html"
            },
            {
                name: "Firecrawl",
                link: "firecrawl",
                source: "API service that can be deployed locally, hosted version has free credits.",
                api: "API",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.firecrawl.FireCrawlLoader.html"
            },
            {
                name: "Docling",
                link: "docling",
                source: "Uses Docling to load and parse web pages",
                api: "Package",
                apiLink: "https://python.langchain.com/docs/integrations/document_loaders/docling/"
            },
            {
                name: "Hyperbrowser",
                link: "hyperbrowser",
                source: "Platform for running and scaling headless browsers, can be used to scrape/crawl any site",
                api: "API",
                apiLink: "https://python.langchain.com/docs/integrations/document_loaders/hyperbrowser/"
            },
            {
                name: "AgentQL",
                link: "agentql",
                source: "Web interaction and structured data extraction from any web page using an AgentQL query or a Natural Language prompt",
                api: "API",
                apiLink: "https://python.langchain.com/docs/integrations/document_loaders/agentql/"
            }
        ]
    },
    pdf_loaders: {
        link: 'docs/integrations/loaders',
        columns: [
            {title: "Document Loader", formatter: (item) => <a href={
                item.link
            }>{item.name}</a>},
            {title: "Description", formatter: (item) => item.source},
            {title: "Package/API", formatter: (item) => item.api},
        ],
        items: [
            {
                name: "PyPDF",
                link: "pypdfloader",
                source: "Uses `pypdf` to load and parse PDFs",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PyPDFLoader.html"
            },
            {
                name: "Unstructured",
                link: "unstructured_file",
                source: "Uses Unstructured's open source library to load PDFs",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/unstructured/document_loaders/langchain_unstructured.document_loaders.UnstructuredLoader.html"
            },
            {
                name: "Amazon Textract",
                link: "amazon_textract",
                source: "Uses AWS API to load PDFs",
                api: "API",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.AmazonTextractPDFLoader.html"
            },
            {
                name: "MathPix",
                link: "mathpix",
                source: "Uses MathPix to load PDFs",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.MathpixPDFLoader.html"
            },
            {
                name: "PDFPlumber",
                link: "pdfplumber",
                source: "Load PDF files using PDFPlumber",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PDFPlumberLoader.html"
            },
            {
                name: "PyPDFDirectry",
                link: "pypdfdirectory",
                source: "Load a directory with PDF files",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PyPDFDirectoryLoader.html"
            },
            {
                name: "PyPDFium2",
                link: "pypdfium2",
                source: "Load PDF files using PyPDFium2",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PyPDFium2Loader.html"
            },
            {
                name: "PyMuPDF",
                link: "pymupdf",
                source: "Load PDF files using PyMuPDF",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PyMuPDFLoader.html"
            },
            {
                name: "PyMuPDF4LLM",
                link: "pymupdf4llm",
                source: "Load PDF content to Markdown using PyMuPDF4LLM",
                api: "Package",
                apiLink: "https://github.com/lakinduboteju/langchain-pymupdf4llm"
            },
            {
                name: "PDFMiner",
                link: "pdfminer",
                source: "Load PDF files using PDFMiner",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PDFMinerLoader.html"
            },
            {
                name: "Upstage Document Parse Loader",
                link: "upstage",
                source: "Load PDF files using UpstageDocumentParseLoader",
                api: "Package",
                apiLink: "https://python.langchain.com/api_reference/upstage/document_parse/langchain_upstage.document_parse.UpstageDocumentParseLoader.html"
            },
            {
                name: "Docling",
                link: "docling",
                source: "Load PDF files using Docling",
                api: "Package",
                apiLink: "https://python.langchain.com/docs/integrations/document_loaders/docling/"
            }
        ]
    },
    common_loaders: {
        link: 'docs/integrations/loaders',
        columns: [
            {title: "Document Loader", formatter: (item) => <a href={
                item.link
            }>{item.name}</a>},
            {title: "Data Type", formatter: (item) => item.source},
        ],
        items: [
            {
                name: "CSVLoader",
                link: "csv",
                source: "CSV files",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.csv_loader.CSVLoader.html"
            },
            {
                name: "DirectoryLoader",
                link: "../../how_to/document_loader_directory",
                source: "All files in a given directory",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.directory.DirectoryLoader.html"
            },
            {
                name: "Unstructured",
                link: "unstructured_file",
                source: "Many file types (see https://docs.unstructured.io/platform/supported-file-types)",
                apiLink: "https://python.langchain.com/api_reference/unstructured/document_loaders/langchain_unstructured.document_loaders.UnstructuredLoader.html"
            },
            {
                name: "JSONLoader",
                link: "json",
                source: "JSON files",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.json_loader.JSONLoader.html"
            },
            {
                name: "BSHTMLLoader",
                link: "bshtml",
                source: "HTML files",
                apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.html_bs.BSHTMLLoader.html"
            },
            {
                name: "DoclingLoader",
                link: "../../integrations/document_loaders/docling",
                source: "Various file types (see https://ds4sd.github.io/docling/)",
                apiLink: "https://python.langchain.com/docs/integrations/document_loaders/docling/"
            },
        ]
    },
    vectorstores: {
        link: 'docs/integrations/vectorstores',
        columns: [
            {title: "Vectorstore", formatter: (item) => <a href={
                item.link
            }>{item.name}</a>},
            {title: "Delete by ID", formatter: (item) => item.deleteById ? "✅" : "❌"},
            {title: "Filtering", formatter: (item) => item.filtering ? "✅" : "❌"},
            {title: "Search by Vector", formatter: (item) => item.searchByVector ? "✅" : "❌"},
            {title: "Search with score", formatter: (item) => item.searchWithScore ? "✅" : "❌"},
            {title: "Async", formatter: (item) => item.async ? "✅" : "❌"},
            {title: "Passes Standard Tests", formatter: (item) => item.passesStandardTests ? "✅" : "❌"},
            {title: "Multi Tenancy", formatter: (item) => item.multiTenancy ? "✅" : "❌"},
            {title: "IDs in add Documents", formatter: (item) => item.idsInAddDocuments ? "✅" : "❌"},
            // {title: "Local/Cloud", formatter: (item) => item.local ? "Local" : "Cloud"},
        ],
        items: [
            {
                name: "AstraDBVectorStore",
                link: "astradb",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "Chroma",
                link: "chroma",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "Clickhouse",
                link: "clickhouse",
                deleteById: true,
                filtering: true,
                searchByVector: false,
                searchWithScore: true,
                async: false,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "CouchbaseVectorStore",
                link: "couchbase",
                deleteById: true,
                filtering: true,
                searchByVector: false,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "DatabricksVectorSearch",
                link: "databricks_vector_search",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: false,
                idsInAddDocuments: false,
            },
            {
                name: "ElasticsearchStore",
                link: "elasticsearch",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "FAISS",
                link: "faiss",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "InMemoryVectorStore",
                link: "https://python.langchain.com/api_reference/core/vectorstores/langchain_core.vectorstores.in_memory.InMemoryVectorStore.html",
                deleteById: true,
                filtering: true,
                searchByVector: false,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "Milvus",
                link: "milvus",
                deleteById: true,
                filtering: true,
                searchByVector: false,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "MongoDBAtlasVectorSearch",
                link: "mongodb_atlas",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "openGauss",
                link: "openGauss",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: true,
                async: false,
                passesStandardTests: true,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: true,
            },
            {
                name: "PGVector",
                link: "pgvector",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "PineconeVectorStore",
                link: "pinecone",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: false,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "QdrantVectorStore",
                link: "qdrant",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "Redis",
                link: "redis",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: false,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "Weaviate",
                link: "weaviate",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: true,
                async: true,
                passesStandardTests: false,
                multiTenancy: true,
                local: true,
                idsInAddDocuments: false,
            },
            {
                name: "SQLServer",
                link: "sqlserver",
                deleteById: true,
                filtering: true,
                searchByVector: true,
                searchWithScore: true,
                async: false,
                passesStandardTests: false,
                multiTenancy: false,
                local: false,
                idsInAddDocuments: false,
            },
        ],
    }
};

const DEPRECATED_DOC_IDS = [
  "integrations/chat/anthropic_functions",
  "integrations/chat/ernie",
  "integrations/chat/ollama_functions",
  "integrations/document_loaders/airbyte_cdk",
  "integrations/document_loaders/airbyte_gong",
  "integrations/document_loaders/airbyte_hubspot",
  "integrations/document_loaders/airbyte_json",
  "integrations/document_loaders/airbyte_salesforce",
  "integrations/document_loaders/airbyte_shopify",
  "integrations/document_loaders/airbyte_stripe",
  "integrations/document_loaders/airbyte_typeform",
  "integrations/document_loaders/airbyte_zendesk_support",
  "integrations/llms/anthropic",
  "integrations/text_embedding/ernie",
];

function toTable(columns, items) {
    const headers = columns.map((col) => col.title);
    return (
        <table>
            <thead>
                <tr>
                    {headers.map((header, i) => <th key={`header-${i}`}>{header}</th>)}
                </tr>
            </thead>
            <tbody>
                {items.map((item, i) => (
                    <tr key={`row-${i}`}>
                        {columns.map((col, j) => <td key={`cell-${i}-${j}`}>{col.formatter(item)}</td>)}
                    </tr>
                ))}
            </tbody>
        </table>
    );
}

export function CategoryTable({ category }) {
    const cat = FEATURE_TABLES[category];
    const rtn = toTable(cat.columns, cat.items);
    return rtn;
}

export function ItemTable({ category, item }) {
    const cat = FEATURE_TABLES[category];
    const row = cat.items.find((i) => i.name === item);
    if (!row) {
        throw new Error(`Item ${item} not found in category ${category}`);
    }
    const rtn = toTable(cat.columns, [row]);
    return rtn;
}

function truncate(str, n) {
    return (str.length > n) ? str.substring(0, n-1) + '...' : str;
}

export function IndexTable() {
  const { items } = useCurrentSidebarCategory();

  const rows = items
    .filter(
      (item) =>
        !item.docId?.endsWith?.("/index") &&
        !DEPRECATED_DOC_IDS.includes(item.docId)
    )
    .map((item) => ({
      ...item,
      description: useDocById(item.docId ?? undefined)?.description,
    }));
  const rtn = toTable(
    [
      {
        title: "Name",
        formatter: (item) => <a href={item.href}>{item.label}</a>,
      },
      {
        title: "Description",
        formatter: (item) => truncate(item.description ?? "", 70),
      },
    ],
    rows,
  );
  return rtn;
}