mirror of
https://github.com/hwchase17/langchain.git
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docs: index pages, sidebars (#25316)
This commit is contained in:
Erick Friis
GitHub
682
docs/src/theme/FeatureTables.js
Normal file
682
docs/src/theme/FeatureTables.js
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@@ -0,0 +1,682 @@
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import React from "react";
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import {useCurrentSidebarCategory} from '@docusaurus/theme-common';
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import {
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useDocById,
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} from '@docusaurus/theme-common/internal';
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const FEATURE_TABLES = {
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chat: {
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||||
link: "/docs/integrations/chat",
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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/",
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||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": false,
|
||||
"multimodal": true,
|
||||
"local": false,
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||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_anthropic.chat_models.ChatAnthropic.html#langchain_anthropic.chat_models.ChatAnthropic"
|
||||
},
|
||||
{
|
||||
"name": "ChatMistralAI",
|
||||
"package": "langchain-mistralai",
|
||||
"link": "mistralai/",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": false,
|
||||
"multimodal": false,
|
||||
"local": false,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_mistralai.chat_models.ChatMistralAI.html#langchain_mistralai.chat_models.ChatMistralAI"
|
||||
},
|
||||
{
|
||||
"name": "ChatFireworks",
|
||||
"package": "langchain-fireworks",
|
||||
"link": "fireworks/",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": true,
|
||||
"multimodal": false,
|
||||
"local": false,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_fireworks.chat_models.ChatFireworks.html#langchain_fireworks.chat_models.ChatFireworks"
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||||
},
|
||||
{
|
||||
"name": "AzureChatOpenAI",
|
||||
"package": "langchain-openai",
|
||||
"link": "azure_chat_openai/",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": true,
|
||||
"multimodal": true,
|
||||
"local": false,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_openai.chat_models.azure.AzureChatOpenAI.html#langchain_openai.chat_models.azure.AzureChatOpenAI"
|
||||
},
|
||||
{
|
||||
"name": "ChatOpenAI",
|
||||
"package": "langchain-openai",
|
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"link": "openai/",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": true,
|
||||
"multimodal": true,
|
||||
"local": false,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_openai.chat_models.base.ChatOpenAI.html#langchain_openai.chat_models.base.ChatOpenAI"
|
||||
},
|
||||
{
|
||||
"name": "ChatTogether",
|
||||
"package": "langchain-together",
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"link": "together/",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": true,
|
||||
"multimodal": false,
|
||||
"local": false,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_together.chat_models.ChatTogether.html#langchain_together.chat_models.ChatTogether"
|
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},
|
||||
{
|
||||
"name": "ChatVertexAI",
|
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"package": "langchain-google-vertexai",
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||||
"link": "google_vertex_ai_palm/",
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||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": false,
|
||||
"multimodal": true,
|
||||
"local": false,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_google_vertexai.chat_models.ChatVertexAI.html#langchain_google_vertexai.chat_models.ChatVertexAI"
|
||||
},
|
||||
{
|
||||
"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://api.python.langchain.com/en/latest/chat_models/langchain_google_genai.chat_models.ChatGoogleGenerativeAI.html#langchain_google_genai.chat_models.ChatGoogleGenerativeAI"
|
||||
},
|
||||
{
|
||||
"name": "ChatGroq",
|
||||
"package": "langchain-groq",
|
||||
"link": "groq/",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": true,
|
||||
"multimodal": false,
|
||||
"local": false,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_groq.chat_models.ChatGroq.html#langchain_groq.chat_models.ChatGroq"
|
||||
},
|
||||
{
|
||||
"name": "ChatCohere",
|
||||
"package": "langchain-cohere",
|
||||
"link": "cohere/",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": false,
|
||||
"multimodal": false,
|
||||
"local": false,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_cohere.chat_models.ChatCohere.html#langchain_cohere.chat_models.ChatCohere"
|
||||
},
|
||||
{
|
||||
"name": "ChatBedrock",
|
||||
"package": "langchain-aws",
|
||||
"link": "bedrock/",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": false,
|
||||
"multimodal": false,
|
||||
"local": false,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_aws.chat_models.bedrock.ChatBedrock.html#langchain_aws.chat_models.bedrock.ChatBedrock"
|
||||
},
|
||||
{
|
||||
"name": "ChatHuggingFace",
|
||||
"package": "langchain-huggingface",
|
||||
"link": "huggingface/",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": false,
|
||||
"multimodal": false,
|
||||
"local": true,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_huggingface.chat_models.huggingface.ChatHuggingFace.html#langchain_huggingface.chat_models.huggingface.ChatHuggingFace",
|
||||
},
|
||||
{
|
||||
"name": "ChatNVIDIA",
|
||||
"package": "langchain-nvidia-ai-endpoints",
|
||||
"link": "nvidia_ai_endpoints/",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": false,
|
||||
"multimodal": false,
|
||||
"local": true,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_nvidia_ai_endpoints.chat_models.ChatNVIDIA.html#langchain_nvidia_ai_endpoints.chat_models.ChatNVIDIA"
|
||||
},
|
||||
{
|
||||
"name": "ChatOllama",
|
||||
"package": "langchain-ollama",
|
||||
"link": "ollama/",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": true,
|
||||
"multimodal": false,
|
||||
"local": true,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_ollama.chat_models.ChatOllama.html#langchain_ollama.chat_models.ChatOllama"
|
||||
},
|
||||
{
|
||||
"name": "ChatLlamaCpp",
|
||||
"package": "langchain-community",
|
||||
"link": "llamacpp",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": false,
|
||||
"multimodal": false,
|
||||
"local": true,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_community.chat_models.llamacpp.ChatLlamaCpp.html#langchain_community.chat_models.llamacpp.ChatLlamaCpp"
|
||||
},
|
||||
{
|
||||
"name": "ChatAI21",
|
||||
"package": "langchain-ai21",
|
||||
"link": "ai21",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": false,
|
||||
"multimodal": false,
|
||||
"local": false,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_ai21.chat_models.ChatAI21.html#langchain_ai21.chat_models.ChatAI21"
|
||||
},
|
||||
{
|
||||
"name": "ChatUpstage",
|
||||
"package": "langchain-upstage",
|
||||
"link": "upstage",
|
||||
"structured_output": true,
|
||||
"tool_calling": true,
|
||||
"json_mode": false,
|
||||
"multimodal": false,
|
||||
"local": false,
|
||||
"apiLink": "https://api.python.langchain.com/en/latest/chat_models/langchain_upstage.chat_models.ChatUpstage.html#langchain_upstage.chat_models.ChatUpstage"
|
||||
}
|
||||
],
|
||||
},
|
||||
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://api.python.langchain.com/en/latest/llms/langchain_ai21.llms.AI21LLM.html#langchain_ai21.llms.AI21LLM"
|
||||
},
|
||||
{
|
||||
name: "AnthropicLLM",
|
||||
link: "anthropic",
|
||||
package: "langchain-anthropic",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/llms/langchain_anthropic.llms.AnthropicLLM.html#langchain_anthropic.llms.AnthropicLLM"
|
||||
},
|
||||
{
|
||||
name: "AzureOpenAI",
|
||||
link: "azure_openai",
|
||||
package: "langchain-openai",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/llms/langchain_openai.llms.azure.AzureOpenAI.html#langchain_openai.llms.azure.AzureOpenAI"
|
||||
},
|
||||
{
|
||||
name: "BedrockLLM",
|
||||
link: "bedrock",
|
||||
package: "langchain-aws",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/llms/langchain_aws.llms.bedrock.BedrockLLM.html#langchain_aws.llms.bedrock.BedrockLLM"
|
||||
},
|
||||
{
|
||||
name: "CohereLLM",
|
||||
link: "cohere",
|
||||
package: "langchain-cohere",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/llms/langchain_cohere.llms.Cohere.html#langchain_cohere.llms.Cohere"
|
||||
},
|
||||
{
|
||||
name: "FireworksLLM",
|
||||
link: "fireworks",
|
||||
package: "langchain-fireworks",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/llms/langchain_fireworks.llms.Fireworks.html#langchain_fireworks.llms.Fireworks"
|
||||
},
|
||||
{
|
||||
name: "OllamaLLM",
|
||||
link: "ollama",
|
||||
package: "langchain-ollama",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/llms/langchain_ollama.llms.OllamaLLM.html#langchain_ollama.llms.OllamaLLM"
|
||||
},
|
||||
{
|
||||
name: "OpenAILLM",
|
||||
link: "openai",
|
||||
package: "langchain-openai",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/llms/langchain_openai.llms.base.OpenAI.html#langchain_openai.llms.base.OpenAI"
|
||||
},
|
||||
{
|
||||
name: "TogetherLLM",
|
||||
link: "together",
|
||||
package: "langchain-together",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/llms/langchain_together.llms.Together.html#langchain_together.llms.Together"
|
||||
},
|
||||
{
|
||||
name: "VertexAILLM",
|
||||
link: "google_vertexai",
|
||||
package: "langchain-google_vertexai",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/llms/langchain_google_vertexai.llms.VertexAI.html#langchain_google_vertexai.llms.VertexAI"
|
||||
},
|
||||
],
|
||||
},
|
||||
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://api.python.langchain.com/en/latest/embeddings/langchain_openai.embeddings.azure.AzureOpenAIEmbeddings.html#langchain_openai.embeddings.azure.AzureOpenAIEmbeddings"
|
||||
},
|
||||
{
|
||||
name: "Ollama",
|
||||
link: "ollama",
|
||||
package: "langchain-ollama",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/embeddings/langchain_ollama.embeddings.OllamaEmbeddings.html#langchain_ollama.embeddings.OllamaEmbeddings"
|
||||
},
|
||||
{
|
||||
name: "AI21",
|
||||
link: "ai21",
|
||||
package: "langchain-ai21",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/embeddings/langchain_ai21.embeddings.AI21Embeddings.html#langchain_ai21.embeddings.AI21Embeddings"
|
||||
},
|
||||
{
|
||||
name: "Fake",
|
||||
link: "fake",
|
||||
package: "langchain-core",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/embeddings/langchain_core.embeddings.fake.FakeEmbeddings.html#langchain_core.embeddings.fake.FakeEmbeddings"
|
||||
},
|
||||
{
|
||||
name: "OpenAI",
|
||||
link: "openai",
|
||||
package: "langchain-openai",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/chat_models/langchain_openai.chat_models.base.ChatOpenAI.html#langchain_openai.chat_models.base.ChatOpenAI"
|
||||
},
|
||||
{
|
||||
name: "Together",
|
||||
link: "together",
|
||||
package: "langchain-together",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/embeddings/langchain_together.embeddings.TogetherEmbeddings.html#langchain_together.embeddings.TogetherEmbeddings"
|
||||
},
|
||||
{
|
||||
name: "Fireworks",
|
||||
link: "fireworks",
|
||||
package: "langchain-fireworks",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/embeddings/langchain_fireworks.embeddings.FireworksEmbeddings.html#langchain_fireworks.embeddings.FireworksEmbeddings"
|
||||
},
|
||||
{
|
||||
name: "MistralAI",
|
||||
link: "mistralai",
|
||||
package: "langchain-mistralai",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/embeddings/langchain_mistralai.embeddings.MistralAIEmbeddings.html#langchain_mistralai.embeddings.MistralAIEmbeddings"
|
||||
},
|
||||
{
|
||||
name: "Cohere",
|
||||
link: "cohere",
|
||||
package: "langchain-cohere",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/embeddings/langchain_cohere.embeddings.CohereEmbeddings.html#langchain_cohere.embeddings.CohereEmbeddings"
|
||||
},
|
||||
]
|
||||
},
|
||||
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://api.python.langchain.com/en/latest/retrievers/langchain_aws.retrievers.bedrock.AmazonKnowledgeBasesRetriever.html",
|
||||
package: "langchain_aws"
|
||||
},
|
||||
{
|
||||
name: "AzureAISearchRetriever",
|
||||
link: "azure_ai_search",
|
||||
selfHost: false,
|
||||
cloudOffering: true,
|
||||
apiLink: "https://api.python.langchain.com/en/latest/retrievers/langchain_community.retrievers.azure_ai_search.AzureAISearchRetriever.html",
|
||||
package: "langchain_community"
|
||||
},
|
||||
{
|
||||
name: "ElasticsearchRetriever",
|
||||
link: "elasticsearch_retriever",
|
||||
selfHost: true,
|
||||
cloudOffering: true,
|
||||
apiLink: "https://api.python.langchain.com/en/latest/retrievers/langchain_elasticsearch.retrievers.ElasticsearchRetriever.html",
|
||||
package: "langchain_elasticsearch"
|
||||
},
|
||||
{
|
||||
name: "MilvusCollectionHybridSearchRetriever",
|
||||
link: "milvus_hybrid_search",
|
||||
selfHost: true,
|
||||
cloudOffering: false,
|
||||
apiLink: "https://api.python.langchain.com/en/latest/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://api.python.langchain.com/en/latest/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://api.python.langchain.com/en/latest/retrievers/langchain_community.retrievers.arxiv.ArxivRetriever.html",
|
||||
package: "langchain_community"
|
||||
},
|
||||
{
|
||||
name: "TavilySearchAPIRetriever",
|
||||
link: "tavily",
|
||||
source: "Internet search",
|
||||
apiLink: "https://api.python.langchain.com/en/latest/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://api.python.langchain.com/en/latest/retrievers/langchain_community.retrievers.wikipedia.WikipediaRetriever.html",
|
||||
package: "langchain_community"
|
||||
}
|
||||
]
|
||||
|
||||
},
|
||||
document_loaders: {
|
||||
link: 'docs/integrations/loaders',
|
||||
columns: [],
|
||||
items: [],
|
||||
},
|
||||
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: "ElasticsearchStore",
|
||||
link: "elasticsearch",
|
||||
deleteById: true,
|
||||
filtering: true,
|
||||
searchByVector: true,
|
||||
searchWithScore: false,
|
||||
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: "in_memory",
|
||||
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: false,
|
||||
searchWithScore: false,
|
||||
async: true,
|
||||
passesStandardTests: false,
|
||||
multiTenancy: false,
|
||||
local: true,
|
||||
idsInAddDocuments: false,
|
||||
},
|
||||
{
|
||||
name: "PGVector",
|
||||
link: "pg_vector",
|
||||
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,
|
||||
}
|
||||
],
|
||||
}
|
||||
};
|
||||
|
||||
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 ${category}`);
|
||||
}
|
||||
const rtn = toTable(cat.columns, [row]);
|
||||
return rtn;
|
||||
}
|
||||
|
||||
function truncate(str, n) {
|
||||
return (str.length > n) ? str.substring(0, n-1) + '...' : str;
|
||||
}
|
||||
|
||||
export function IndexTable() {
|
||||
const { items } = useCurrentSidebarCategory();
|
||||
|
||||
const rows = items.filter(item => !item.docId?.endsWith?.('/index')).map(item => ({
|
||||
...item,
|
||||
description: useDocById(item.docId ?? undefined)?.description,
|
||||
}));
|
||||
const rtn = toTable(
|
||||
[
|
||||
{ title: "Label", formatter: (item) => <a href={item.href}>{item.label}</a> },
|
||||
{ title: "Description", formatter: (item) => truncate(item.description ?? "", 70) },
|
||||
],
|
||||
rows,
|
||||
);
|
||||
return rtn;
|
||||
}
|
||||
@@ -1,76 +0,0 @@
|
||||
import React from "react";
|
||||
|
||||
interface Column {
|
||||
title: string | React.ReactNode;
|
||||
formatter: (item: any) => React.ReactNode;
|
||||
}
|
||||
interface Category {
|
||||
link: string;
|
||||
columns: Column[];
|
||||
items: any[];
|
||||
}
|
||||
|
||||
const FeatureTables: Record<string, Category> = {
|
||||
llms: {
|
||||
link: "/docs/integrations/llms",
|
||||
columns: [
|
||||
{title: "Provider", formatter: (item) => <a href={item.link}>{item.name}</a>},
|
||||
{title: "Package", formatter: (item) => <a href={`https://pypi.org/project/${item.package}/`}>{item.package}</a>},
|
||||
],
|
||||
items:[
|
||||
{
|
||||
name: "Anthropic",
|
||||
link: "anthropic.ipynb",
|
||||
package: "langchain-anthropic",
|
||||
}
|
||||
]
|
||||
},
|
||||
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={`https://pypi.org/project/${item.package}/`}>{item.package}</a>},
|
||||
],
|
||||
items:[
|
||||
{
|
||||
name: "Cohere",
|
||||
link: "cohere.ipynb",
|
||||
package: "langchain-cohere",
|
||||
}
|
||||
]
|
||||
},
|
||||
};
|
||||
|
||||
function toTable(columns: Column[], items: any[]) {
|
||||
const headers = columns.map((col) => col.title);
|
||||
return (
|
||||
<table>
|
||||
<thead>
|
||||
<tr>
|
||||
{headers.map((header) => <th>{header}</th>)}
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
{items.map((item) => (
|
||||
<tr>
|
||||
{columns.map((col) => <td>{col.formatter(item)}</td>)}
|
||||
</tr>
|
||||
))}
|
||||
</tbody>
|
||||
</table>
|
||||
);
|
||||
}
|
||||
|
||||
export function CategoryTable({category}: {category: string}) {
|
||||
const cat = FeatureTables[category];
|
||||
return toTable(cat.columns, cat.items);
|
||||
}
|
||||
|
||||
export function ItemTable({category, item}: {category: string, item: string}) {
|
||||
const cat = FeatureTables[category];
|
||||
const row = cat.items.find((i) => i.name === item);
|
||||
if (!row) {
|
||||
throw new Error(`Item ${item} not found in category ${category}`);
|
||||
}
|
||||
return toTable(cat.columns, [row]);
|
||||
}
|
||||
Reference in New Issue
Block a user