Updating docs to work in new developer hub

Co-authored-by: Logan Markewich <[email protected]>

Author: seldo

docs/docs/CHANGELOG.md

@@ -1,3 +1,8 @@
+---
+sidebar:
+  order: 7
+---
+
 # ChangeLog
 
 ## [2025-09-15]
@@ -9824,8 +9829,8 @@ Last patch before v0.10!
 
 - Change `BaseOpenAIAgent` to use `llama_index.llms.OpenAI`. Adjust `chat_history` to use `List[ChatMessage]]` as type.
 - Remove (previously deprecated) `llama_index.langchain_helpers.chain_wrapper` module.
-- Remove (previously deprecated) `llama_index.token_counter.token_counter` module. See [migration guide](/how_to/callbacks/token_counting_migration.html) for more details on new callback based token counting.
-- Remove `ChatGPTLLMPredictor` and `HuggingFaceLLMPredictor`. See [migration guide](/how_to/customization/llms_migration_guide.html) for more details on replacements.
+- Remove (previously deprecated) `llama_index.token_counter.token_counter` module. See [migration guide](/python/framework/module_guides/observability/callbacks/token_counting_migration/) for more details on new callback based token counting.
+- Remove `ChatGPTLLMPredictor` and `HuggingFaceLLMPredictor`.
 - Remove support for setting `cache` via `LLMPredictor` constructor.
 - Update `BaseChatEngine` interface:
   - adjust `chat_history` to use `List[ChatMessage]]` as type

docs/docs/_meta.yml

@@ -0,0 +1 @@
+collapsed: true

docs/docs/api_reference/instrumentation/index.md

@@ -3,7 +3,7 @@
 LlamaIndex contains a simple instrumentation framework that allows you to
 observe events and spans happening in the framework.
 
-- [Event Handlers](./event_handlers.md)
-- [Event Types](./event_types.md)
-- [Span Handlers](./span_handlers.md)
-- [Span Types](./span_types.md)
+- [Event Handlers](/python/framework/api_reference/instrumentation/event_handlers)
+- [Event Types](/python/framework/api_reference/instrumentation/event_types)
+- [Span Handlers](/python/framework/api_reference/instrumentation/span_handlers)
+- [Span Types](/python/framework/api_reference/instrumentation/span_types)

docs/docs/changes/_meta.yml

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+hidden: true

docs/docs/changes/deprecated_terms.md

@@ -10,24 +10,24 @@ This has been renamed to `VectorStoreIndex`, as well as unifying all vector inde
 
 Please see the following links for more details on usage.
 
-- [Index Usage Pattern](../module_guides/evaluating/usage_pattern.md)
-- [Vector Store Guide](../module_guides/indexing/vector_store_guide.ipynb)
-- [Vector Store Integrations](../community/integrations/vector_stores.md)
+- [Index Usage Pattern](/python/framework/module_guides/evaluating/usage_pattern)
+- [Vector Store Guide](/python/framework/module_guides/indexing/vector_store_guide)
+- [Vector Store Integrations](/python/framework/community/integrations/vector_stores)
 
 ## GPTVectorStoreIndex
 
 This has been renamed to `VectorStoreIndex`, but it is only a cosmetic change. Please see the following links for more details on usage.
 
-- [Index Usage Pattern](../module_guides/evaluating/usage_pattern.md)
-- [Vector Store Guide](../module_guides/indexing/vector_store_guide.ipynb)
-- [Vector Store Integrations](../community/integrations/vector_stores.md)
+- [Index Usage Pattern](/python/framework/module_guides/evaluating/usage_pattern)
+- [Vector Store Guide](/python/framework/module_guides/indexing/vector_store_guide)
+- [Vector Store Integrations](/python/framework/community/integrations/vector_stores)
 
 ## LLMPredictor
 
 The `LLMPredictor` object is no longer intended to be used by users. Instead, you can setup an LLM directly and pass it into the `Settings` or the interface using the LLM. The `LLM` class itself has similar attributes and methods as the `LLMPredictor`.
 
-- [LLMs in LlamaIndex](../module_guides/models/llms.md)
-- [Setting LLMs in the Settings](../module_guides/supporting_modules/settings.md)
+- [LLMs in LlamaIndex](/python/framework/module_guides/models/llms)
+- [Setting LLMs in the Settings](/python/framework/module_guides/supporting_modules/settings)
 
 ## PromptHelper and max_input_size/
 
@@ -37,31 +37,31 @@ The `PromptHelper` in general has been deprecated in favour of specifying parame
 
 See the following links for more details.
 
-- [Configuring settings in the Settings](../module_guides/supporting_modules/settings.md)
-- [Parsing Documents into Nodes](../module_guides/loading/node_parsers/index.md)
+- [Configuring settings in the Settings](/python/framework/module_guides/supporting_modules/settings)
+- [Parsing Documents into Nodes](/python/framework/module_guides/loading/node_parsers)
 
 ## ServiceContext
 
 The `ServiceContext` object has been deprecated in favour of the `Settings` object.
 
-- [Configuring settings in the Settings](../module_guides/supporting_modules/settings.md)
+- [Configuring settings in the Settings](/python/framework/module_guides/supporting_modules/settings)
 
 ## llama-index-legacy
 
 The `llama-index-legacy` package has been deprecated and removed from the repository. Please see the latest getting started guide for the latest information and usage.
 
-- [Getting Started](../getting_started/installation.md)
+- [Getting Started](/python/framework/getting_started/installation)
 
 ## AgentRunner/AgentWorker (and related classes)
 
-The `AgentRunner` and `AgentWorker` classes have been deprecated in favour of [AgentWorkflow](../module_guides/deploying/agents/index.md) and [Workflows](../module_guides/workflow/index.md).
+The `AgentRunner` and `AgentWorker` classes have been deprecated in favour of [AgentWorkflow](/python/framework/module_guides/deploying/agents) and [Workflows](/python/framework/module_guides/workflow).
 
 This includes the following deprecated classes:
 
 - `AgentRunner`
 - `FunctionCallingAgent`
 - `FunctionCallingAgentWorker`
-- `llama_index.core.agent.ReActAgent` (use [llama_index.core.agent.workflow.ReActAgent](../module_guides/deploying/agents/index.md))
+- `llama_index.core.agent.ReActAgent` (use [llama_index.core.agent.workflow.ReActAgent](/python/framework/module_guides/deploying/agents))
 - `ReActAgentWorker`
 - `LATSAgentWorker`
 - `CoAAgentWorker`
@@ -76,7 +76,7 @@ This includes the following deprecated classes:
 
 ## QueryPipeline (and related classes)
 
-QueryPipeline has been deprecated in favour of [Workflows](../module_guides/workflow/index.md).
+QueryPipeline has been deprecated in favour of [Workflows](/python/framework/module_guides/workflow).
 
 This includes the following deprecated classes:
 

docs/docs/community/_meta.yml

@@ -0,0 +1,3 @@
+label: Open Source Community
+order: 6
+collapsed: true

docs/docs/community/faq/_meta.yml

@@ -0,0 +1 @@
+label: FAQ

docs/docs/community/faq/chat_engines.md

@@ -9,10 +9,10 @@
 
 ##### 1. How to make bot retain context while answering, Can I do that with LlamaIndex?
 
-Yes you can, Llamaindex provides chat engines that you can use to retain context and answer as per the context. You can find more here [Chat Engines](../../module_guides/deploying/chat_engines/index.md).
+Yes you can, Llamaindex provides chat engines that you can use to retain context and answer as per the context. You can find more here [Chat Engines](/python/framework/module_guides/deploying/chat_engines).
 
 ---
 
 ##### 2. How to use Data Agent with Chat engine?
 
-To use data Agents with Chat engine you have to set the chat mode while initializing the chat engine. Find more here [ Data Agents with Chat Engine](../../module_guides/deploying/chat_engines/usage_pattern.md#available-chat-modes)
+To use data Agents with Chat engine you have to set the chat mode while initializing the chat engine. Find more here [ Data Agents with Chat Engine](/python/framework/module_guides/deploying/chat_engines/usage_pattern#available-chat-modes)

docs/docs/community/faq/documents_and_nodes.md

@@ -10,18 +10,18 @@
 
 ##### 1. What is the default `chunk_size` of a Node object?
 
-It's 1024 by default. If you want to customize the `chunk_size`, You can follow [Customizing Node](../../module_guides/loading/node_parsers/index.md#customization)
+It's 1024 by default. If you want to customize the `chunk_size`, You can follow [Customizing Node](/python/framework/module_guides/loading/node_parsers#customization)
 
 ---
 
 ##### 2. How to add information like name, url in a `Document` object?
 
-You can customize the Document object and add extra info in the form of metadata. To know more on this follow [Customize Document](../../module_guides/loading/documents_and_nodes/usage_documents.md#customizing-documents).
+You can customize the Document object and add extra info in the form of metadata. To know more on this follow [Customize Document](/python/framework/module_guides/loading/documents_and_nodes/usage_documents#customizing-documents).
 
 ---
 
 ##### 3. How to update existing document in an Index?
 
-You can update/delete existing document in an Index with the help of `doc_id`. You can add new document to an existing Index too. To know more check [Document Management](../../module_guides/indexing/document_management.md)
+You can update/delete existing document in an Index with the help of `doc_id`. You can add new document to an existing Index too. To know more check [Document Management](/python/framework/module_guides/indexing/document_management)
 
 ---

docs/docs/community/faq/embeddings.md

@@ -11,13 +11,13 @@
 
 ##### 1. How to use a custom/local embedding model?
 
-To create your customized embedding class you can follow [Custom Embeddings](../../examples/embeddings/custom_embeddings.ipynb) guide.
+To create your customized embedding class you can follow [Custom Embeddings](/python/examples/embeddings/custom_embeddings) guide.
 
 ---
 
 ##### 2. How to use a local hugging face embedding model?
 
-To use a local HuggingFace embedding model you can follow [Local Embeddings with HuggingFace](../../examples/embeddings/huggingface.ipynb) guide.
+To use a local HuggingFace embedding model you can follow [Local Embeddings with HuggingFace](/python/examples/embeddings/huggingface) guide.
 
 ---
 
@@ -33,4 +33,4 @@ text_embedding = embed_model.get_text_embedding("YOUR_TEXT")
 
 ##### 4. How to use Huggingface Text-Embedding Inference with LlamaIndex?
 
-To use HuggingFace Text-Embedding Inference you can follow [Text-Embedding-Inference](../../examples/embeddings/text_embedding_inference.ipynb) tutorial.
+To use HuggingFace Text-Embedding Inference you can follow [Text-Embedding-Inference](/python/examples/embeddings/text_embedding_inference) tutorial.