fix(docs): fix broken links (#32083)

This commit is contained in:
Mason Daugherty 2025-07-17 10:38:51 -04:00 committed by GitHub
parent b61ce9178c
commit a1519af513
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
2 changed files with 159 additions and 137 deletions

View File

@ -17,9 +17,9 @@
"source": [
"# AI21Embeddings\n",
"\n",
":::caution This service is deprecated. :::\n",
":::caution This service is deprecated.\n",
"\n",
"This will help you get started with AI21 embedding models using LangChain. For detailed documentation on `AI21Embeddings` features and configuration options, please refer to the [API reference](https://python.langchain.com/api_reference/ai21/embeddings/langchain_ai21.embeddings.AI21Embeddings.html).\n",
"This will help you get started with AI21 embedding models using LangChain. For detailed documentation on `AI21Embeddings` features and configuration options, please refer to the [API reference](https://python.langchain.com/api_reference/ai21/index.html).\n",
"\n",
"## Overview\n",
"### Integration details\n",
@ -55,7 +55,9 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
"source": [
"To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
]
},
{
"cell_type": "code",
@ -123,7 +125,7 @@
"source": [
"## Indexing and Retrieval\n",
"\n",
"Embedding models are often used in retrieval-augmented generation (RAG) flows, both as part of indexing data as well as later retrieving it. For more detailed instructions, please see our [RAG tutorials](/docs/tutorials/).\n",
"Embedding models are often used in retrieval-augmented generation (RAG) flows, both as part of indexing data as well as later retrieving it. For more detailed instructions, please see our [RAG tutorials](/docs/tutorials/rag/).\n",
"\n",
"Below, see how to index and retrieve data using the `embeddings` object we initialized above. In this example, we will index and retrieve a sample document in the `InMemoryVectorStore`."
]

View File

@ -253,12 +253,16 @@ const FEATURE_TABLES = {
llms: {
link: "/docs/integrations/llms",
columns: [
{title: "Provider", formatter: (item) => <a href={
{
title: "Provider", formatter: (item) => <a href={
item.link
}>{item.name}</a>},
{title: "Package", formatter: (item) => <a href={
}>{item.name}</a>
},
{
title: "Package", formatter: (item) => <a href={
item.apiLink
}>{item.package}</a>},
}>{item.package}</a>
},
],
items: [
{
@ -348,12 +352,6 @@ const FEATURE_TABLES = {
package: "langchain-ollama",
apiLink: "https://python.langchain.com/api_reference/ollama/embeddings/langchain_ollama.embeddings.OllamaEmbeddings.html"
},
{
name: "AI21",
link: "/docs/integrations/text_embedding/ai21",
package: "langchain-ai21",
apiLink: "https://python.langchain.com/api_reference/ai21/embeddings/langchain_ai21.embeddings.AI21Embeddings.html"
},
{
name: "Fake",
link: "/docs/integrations/text_embedding/fake",
@ -394,7 +392,7 @@ const FEATURE_TABLES = {
name: "Cohere",
link: "/docs/integrations/text_embedding/cohere",
package: "langchain-cohere",
apiLink: "https://python.langchain.com/api_reference/cohere/embeddings/langchain_cohere.embeddings.CohereEmbeddings.html"
apiLink: "https://python.langchain.com/api_reference/community/llms/langchain_community.llms.cohere.Cohere.html"
},
{
name: "Nomic",
@ -408,12 +406,6 @@ const FEATURE_TABLES = {
package: "databricks-langchain",
apiLink: "https://api-docs.databricks.com/python/databricks-ai-bridge/latest/databricks_langchain.html#databricks_langchain.DatabricksEmbeddings"
},
{
name: "VoyageAI",
link: "/docs/integrations/text_embedding/voyageai",
package: "langchain-voyageai",
apiLink: "https://python.langchain.com/api_reference/voyageai/embeddings/langchain_voyageai.embeddings.VoyageAIEmbeddings.html"
},
{
name: "IBM",
link: "/docs/integrations/text_embedding/ibm_watsonx",
@ -474,13 +466,17 @@ const FEATURE_TABLES = {
external_retrievers: {
link: 'docs/integrations/retrievers',
columns: [
{title: "Retriever", formatter: (item) => <a href={
{
title: "Retriever", formatter: (item) => <a href={
item.link
}>{item.name}</a>},
}>{item.name}</a>
},
{ title: "Source", formatter: (item) => item.source },
{title: "Package", formatter: (item) => <a href={
{
title: "Package", formatter: (item) => <a href={
item.apiLink
}>{item.package}</a>},
}>{item.package}</a>
},
],
items: [
{
@ -515,14 +511,18 @@ const FEATURE_TABLES = {
cloud_provider_loaders: {
link: 'docs/integrations/loaders',
columns: [
{title: "Document Loader", formatter: (item) => <a href={
{
title: "Document Loader", formatter: (item) => <a href={
item.link
}>{item.name}</a>},
}>{item.name}</a>
},
{ title: "Description", formatter: (item) => item.source },
{ title: "Partner Package", formatter: (item) => item.partnerPackage ? "✅" : "❌" },
{title: "API reference", formatter: (item) => <a href={
{
title: "API reference", formatter: (item) => <a href={
item.apiLink
}>{item.loaderName}</a>},
}>{item.loaderName}</a>
},
],
items: [
{
@ -650,12 +650,16 @@ const FEATURE_TABLES = {
messaging_loaders: {
link: 'docs/integrations/loaders',
columns: [
{title: "Document Loader", formatter: (item) => <a href={
{
title: "Document Loader", formatter: (item) => <a href={
item.link
}>{item.name}</a>},
{title: "API reference", formatter: (item) => <a href={
}>{item.name}</a>
},
{
title: "API reference", formatter: (item) => <a href={
item.apiLink
}>{item.loaderName}</a>},
}>{item.loaderName}</a>
},
],
items: [
{
@ -693,12 +697,16 @@ const FEATURE_TABLES = {
productivity_loaders: {
link: 'docs/integrations/loaders',
columns: [
{title: "Document Loader", formatter: (item) => <a href={
{
title: "Document Loader", formatter: (item) => <a href={
item.link
}>{item.name}</a>},
{title: "API reference", formatter: (item) => <a href={
}>{item.name}</a>
},
{
title: "API reference", formatter: (item) => <a href={
item.apiLink
}>{item.loaderName}</a>},
}>{item.loaderName}</a>
},
],
items: [
{
@ -748,12 +756,16 @@ const FEATURE_TABLES = {
social_loaders: {
link: 'docs/integrations/loaders',
columns: [
{title: "Document Loader", formatter: (item) => <a href={
{
title: "Document Loader", formatter: (item) => <a href={
item.link
}>{item.name}</a>},
{title: "API reference", formatter: (item) => <a href={
}>{item.name}</a>
},
{
title: "API reference", formatter: (item) => <a href={
item.apiLink
}>{item.loaderName}</a>},
}>{item.loaderName}</a>
},
],
items: [
{
@ -773,9 +785,11 @@ const FEATURE_TABLES = {
webpage_loaders: {
link: 'docs/integrations/loaders',
columns: [
{title: "Document Loader", formatter: (item) => <a href={
{
title: "Document Loader", formatter: (item) => <a href={
item.link
}>{item.name}</a>},
}>{item.name}</a>
},
{ title: "Description", formatter: (item) => item.source },
{ title: "Package/API", formatter: (item) => item.api },
],
@ -841,9 +855,11 @@ const FEATURE_TABLES = {
pdf_loaders: {
link: 'docs/integrations/loaders',
columns: [
{title: "Document Loader", formatter: (item) => <a href={
{
title: "Document Loader", formatter: (item) => <a href={
item.link
}>{item.name}</a>},
}>{item.name}</a>
},
{ title: "Description", formatter: (item) => item.source },
{ title: "Package/API", formatter: (item) => item.api },
],
@ -937,9 +953,11 @@ const FEATURE_TABLES = {
common_loaders: {
link: 'docs/integrations/loaders',
columns: [
{title: "Document Loader", formatter: (item) => <a href={
{
title: "Document Loader", formatter: (item) => <a href={
item.link
}>{item.name}</a>},
}>{item.name}</a>
},
{ title: "Data Type", formatter: (item) => item.source },
],
items: [
@ -984,9 +1002,11 @@ const FEATURE_TABLES = {
vectorstores: {
link: 'docs/integrations/vectorstores',
columns: [
{title: "Vectorstore", formatter: (item) => <a href={
{
title: "Vectorstore", formatter: (item) => <a href={
item.link
}>{item.name}</a>},
}>{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 ? "✅" : "❌" },