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## Overview Fix subset of broken links. Still 368 to go ## Type of change **Type:** Bug fix ## Related issues/PRs <!-- Link to related issues, feature PRs, or discussions (if applicable) To automatically close an issue when this PR is merged, use closing keywords: - "closes langchain-ai#123" or "fixes langchain-ai#123" or "resolves langchain-ai#123" For regular references without auto-closing, just use: - "langchain-ai#123" or "See issue langchain-ai#123" Examples: - closes langchain-ai#456 (will auto-close issue langchain-ai#456 when PR is merged) - See langchain-ai#789 for context (will reference but not auto-close issue langchain-ai#789) --> - GitHub issue: - Feature PR: <!-- For LangChain employees, if applicable: --> - Linear issue: - Slack thread: ## Checklist <!-- Put an 'x' in all boxes that apply --> - [ ] I have read the [contributing guidelines](README.md) - [ ] I have tested my changes locally using `docs dev` - [ ] All code examples have been tested and work correctly - [ ] I have used **root relative** paths for internal links - [ ] I have updated navigation in `src/docs.json` if needed - I have gotten approval from the relevant reviewers - (Internal team members only / optional) I have created a preview deployment using the [Create Preview Branch workflow](https://github.com/langchain-ai/docs/actions/workflows/create-preview-branch.yml) ## Additional notes <!-- Any other information that would be helpful for reviewers -->
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‎src/docs.json‎

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"group": "Conceptual overviews",
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"icon": "book",
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"pages": [
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"oss/python/memory",
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"oss/python/context",
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"oss/python/concepts/memory",
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"oss/python/concepts/context",
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"oss/python/langgraph/graph-api",
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"oss/python/langgraph/functional-api",
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"oss/python/subgraphs"
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"oss/python/concepts/subgraphs"
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]
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},
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{
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"group": "Google",
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"pages": [
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"oss/javascript/integrations/providers/google",
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"/oss/javascript/integrations/chat/google_generative_ai",
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"/oss/javascript/integrations/text_embedding/google_generativeai"
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"/oss/integrations/chat/google_generative_ai",
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"/oss/integrations/text_embedding/google_generativeai"
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]
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},
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{
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"group": "AWS",
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"pages": [
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"/oss/javascript/integrations/chat/bedrock",
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"/oss/javascript/integrations/text_embedding/bedrock"
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"/oss/integrations/chat/bedrock",
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"/oss/integrations/text_embedding/bedrock"
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"group": "Microsoft",
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"pages": [
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"/oss/javascript/integrations/text_embedding/azure_openai"
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"/oss/integrations/chat/azure",
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"/oss/integrations/text_embedding/azure_openai"
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"group": "Conceptual overviews",
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"pages": [
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"oss/javascript/memory",
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"oss/javascript/context",
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"oss/javascript/concepts/memory",
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"oss/javascript/concepts/context",
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‎src/langgraph-platform/use-remote-graph.mdx‎

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If you need to use a `checkpointer` with a graph that has a `RemoteGraph` subgraph node, make sure to use UUIDs as thread IDs.
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</Note>
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A graph can also call out to multiple `RemoteGraph` instances as [_subgraph_](/oss/langgraph/subgraphs) nodes. This allows for modular, scalable workflows where different responsibilities are split across separate graphs.
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A graph can also call out to multiple `RemoteGraph` instances as [_subgraph_](/oss/langgraph/use-subgraphs) nodes. This allows for modular, scalable workflows where different responsibilities are split across separate graphs.
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`RemoteGraph` exposes the same interface as a regular `CompiledGraph`, so you can use it directly as a subgraph inside another graph. For example:
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‎src/oss/contributing/implement-langchain.mdx‎

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<Tab title="Retrievers">
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Retrievers are used to retrieve documents from APIs, databases, or other sources based on a query. The Retriever class must inherit from the BaseRetriever base class.
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See the [retriever integration guide](/oss/integrations/guide/retrievers) for details on implementing a retriever integration.
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See the [retriever integration guide](/oss/integrations/retrievers) for details on implementing a retriever integration.
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</Tab>
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<Tab title="Vector Stores">
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All vector stores must inherit from the [`VectorStore`](https://python.langchain.com/api_reference/core/vectorstores/langchain_core.vectorstores.base.VectorStore.html) base class. This interface consists of methods for writing, deleting and searching for documents in the vector store.
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See the [vector store integration guide](/oss/integrations/vector-stores) for details on implementing a vector store integration.
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See the [vector store integration guide](/oss/integrations/vectorstores) for details on implementing a vector store integration.
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</Tab>
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<Tab title="Embeddings">
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Embedding models are subclasses of the [`Embeddings`](https://python.langchain.com/api_reference/core/embeddings/langchain_core.embeddings.embeddings.Embeddings.html) class.
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See the [embedding model integration guide](/oss/integrations/embeddings) for details on implementing an embedding model integration.
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See the [embedding model integration guide](/oss/integrations/text_embedding) for details on implementing an embedding model integration.
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‎src/oss/contributing/publish-langchain.mdx‎

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:::
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<CardGroup>
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<Card title="Chat models" icon="message" href="https://docs.langchain.com/oss/javascript/integrations/chat/TEMPLATE.mdx" arrow/>
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<Card title="Tools/toolkits" icon="wrench" href="https://docs.langchain.com/oss/javascript/integrations/tools/TEMPLATE.mdx" arrow/>
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<Card title="Retrievers" icon="magnifying-glass" href="https://docs.langchain.com/oss/javascript/integrations/retrievers/TEMPLATE.mdx" arrow/>
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<Card title="Vector stores" icon="database" href="https://docs.langchain.com/oss/javascript/integrations/vectorstores/TEMPLATE.mdx" arrow/>
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<Card title="Embedding models" icon="layer-group" href="https://docs.langchain.com/oss/javascript/integrations/text_embedding/TEMPLATE.mdx" arrow/>
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<Card title="Chat models" icon="message" href="https://docs.langchain.com/oss/integrations/chat/TEMPLATE.mdx" arrow/>
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<Card title="Tools/toolkits" icon="wrench" href="https://docs.langchain.com/oss/integrations/tools/TEMPLATE.mdx" arrow/>
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<Card title="Retrievers" icon="magnifying-glass" href="https://docs.langchain.com/oss/integrations/retrievers/TEMPLATE.mdx" arrow/>
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<Card title="Vector stores" icon="database" href="https://docs.langchain.com/oss/integrations/vectorstores/TEMPLATE.mdx" arrow/>
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<Card title="Embedding models" icon="layer-group" href="https://docs.langchain.com/oss/integrations/text_embedding/TEMPLATE.mdx" arrow/>
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:::
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‎src/oss/javascript/integrations/chat/anthropic.mdx‎

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See the links in the table headers below for guides on how to use specific features.
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| [Tool calling](/oss/langchain/tools) | [Structured output](/oss/langchain/structured-output) | JSON mode | [Image input](/oss/how-to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/oss/langchain/streaming/) | [Token usage](/oss/how-to/chat_token_usage_tracking/) | [Logprobs](/oss/how-to/logprobs/) |
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| [Tool calling](/oss/langchain/tools) | [Structured output](/oss/langchain/structured-output) | JSON mode | [Image input](/oss/langchain/messages#multimodal) | Audio input | Video input | [Token-level streaming](/oss/langchain/streaming/) | [Token usage](/oss/langchain/models#token-usage) | [Logprobs](/oss/langchain/models#log-probabilities) |
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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| ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ |
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LangChain does not host any LLMs, rather we rely on third party integrations.
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For specifics on how to use LLMs, see the [relevant how-to guides here](/oss/how-to/#llms).
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For specifics on how to use LLMs, see the [relevant how-to guides here](/oss/langchain/models).
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‎src/oss/javascript/integrations/chat/azure.mdx‎

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| [Tool calling](/oss/langchain/tools) | [Structured output](/oss/langchain/structured-output) | JSON mode | [Image input](/oss/how-to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/oss/langchain/streaming/) | [Token usage](/oss/how-to/chat_token_usage_tracking/) | [Logprobs](/oss/how-to/logprobs/) |
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| [Tool calling](/oss/langchain/tools) | [Structured output](/oss/langchain/structured-output) | JSON mode | [Image input](/oss/langchain/messages#multimodal) | Audio input | Video input | [Token-level streaming](/oss/langchain/streaming/) | [Token usage](/oss/langchain/models#token-usage) | [Logprobs](/oss/langchain/models#log-probabilities) |
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‎src/oss/javascript/integrations/chat/bedrock.mdx‎

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| [Tool calling](/oss/langchain/tools) | [Structured output](/oss/langchain/structured-output) | JSON mode | [Image input](/oss/how-to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/oss/langchain/streaming/) | [Token usage](/oss/how-to/chat_token_usage_tracking/) | [Logprobs](/oss/how-to/logprobs/) |
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| [Tool calling](/oss/langchain/tools) | [Structured output](/oss/langchain/structured-output) | JSON mode | [Image input](/oss/langchain/messages#multimodal) | Audio input | Video input | [Token-level streaming](/oss/langchain/streaming/) | [Token usage](/oss/langchain/models#token-usage) | [Logprobs](/oss/langchain/models#log-probabilities) |
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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‎src/oss/javascript/integrations/chat/bedrock_converse.mdx‎

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| [Tool calling](/oss/langchain/tools) | [Structured output](/oss/langchain/structured-output) | JSON mode | [Image input](/oss/how-to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/oss/langchain/streaming/) | [Token usage](/oss/how-to/chat_token_usage_tracking/) | [Logprobs](/oss/how-to/logprobs/) |
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| [Tool calling](/oss/langchain/tools) | [Structured output](/oss/langchain/structured-output) | JSON mode | [Image input](/oss/langchain/messages#multimodal) | Audio input | Video input | [Token-level streaming](/oss/langchain/streaming/) | [Token usage](/oss/langchain/models#token-usage) | [Logprobs](/oss/langchain/models#log-probabilities) |
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‎src/oss/javascript/integrations/chat/cerebras.mdx‎

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| [Tool calling](/oss/langchain/tools) | [Structured output](/oss/langchain/structured-output) | JSON mode | [Image input](/oss/how-to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/oss/langchain/streaming/) | [Token usage](/oss/how-to/chat_token_usage_tracking/) | [Logprobs](/oss/how-to/logprobs/) |
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| [Tool calling](/oss/langchain/tools) | [Structured output](/oss/langchain/structured-output) | JSON mode | [Image input](/oss/langchain/messages#multimodal) | Audio input | Video input | [Token-level streaming](/oss/langchain/streaming/) | [Token usage](/oss/langchain/models#token-usage) | [Logprobs](/oss/langchain/models#log-probabilities) |
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‎src/oss/javascript/integrations/chat/cloudflare_workersai.mdx‎

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| [Tool calling](/oss/langchain/tools) | [Structured output](/oss/langchain/structured-output) | JSON mode | [Image input](/oss/how-to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/oss/langchain/streaming/) | [Token usage](/oss/how-to/chat_token_usage_tracking/) | [Logprobs](/oss/how-to/logprobs/) |
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| [Tool calling](/oss/langchain/tools) | [Structured output](/oss/langchain/structured-output) | JSON mode | [Image input](/oss/langchain/messages#multimodal) | Audio input | Video input | [Token-level streaming](/oss/langchain/streaming/) | [Token usage](/oss/langchain/models#token-usage) | [Logprobs](/oss/langchain/models#log-probabilities) |
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