Remove unnecessary explicit title anchors and use relative links instead (#20620)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

docs/serving/distributed_serving.md

@@ -1,7 +1,6 @@
 ---
 title: Distributed Inference and Serving
 ---
-[](){ #distributed-serving }
 
 ## How to decide the distributed inference strategy?
 

docs/serving/integrations/langchain.md

@@ -1,7 +1,6 @@
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 title: LangChain
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-[](){ #serving-langchain }
 
 vLLM is also available via [LangChain](https://github.com/langchain-ai/langchain) .
 

docs/serving/integrations/llamaindex.md

@@ -1,7 +1,6 @@
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 title: LlamaIndex
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-[](){ #serving-llamaindex }
 
 vLLM is also available via [LlamaIndex](https://github.com/run-llama/llama_index) .
 

docs/serving/offline_inference.md

@@ -1,7 +1,6 @@
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 title: Offline Inference
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-[](){ #offline-inference }
 
 Offline inference is possible in your own code using vLLM's [`LLM`][vllm.LLM] class.
 
@@ -18,8 +17,8 @@ llm = LLM(model="facebook/opt-125m")
 After initializing the `LLM` instance, use the available APIs to perform model inference.
 The available APIs depend on the model type:
 
-- [Generative models][generative-models] output logprobs which are sampled from to obtain the final output text.
-- [Pooling models][pooling-models] output their hidden states directly.
+- [Generative models](../models/generative_models.md) output logprobs which are sampled from to obtain the final output text.
+- [Pooling models](../models/pooling_models.md) output their hidden states directly.
 
 !!! info
     [API Reference][offline-inference-api]

docs/serving/openai_compatible_server.md

@@ -1,11 +1,10 @@
 ---
 title: OpenAI-Compatible Server
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-[](){ #serving-openai-compatible-server }
 
 vLLM provides an HTTP server that implements OpenAI's [Completions API](https://platform.openai.com/docs/api-reference/completions), [Chat API](https://platform.openai.com/docs/api-reference/chat), and more! This functionality lets you serve models and interact with them using an HTTP client.
 
-In your terminal, you can [install](../getting_started/installation/README.md) vLLM, then start the server with the [`vllm serve`][serve-args] command. (You can also use our [Docker][deployment-docker] image.)
+In your terminal, you can [install](../getting_started/installation/README.md) vLLM, then start the server with the [`vllm serve`](../configuration/serve_args.md) command. (You can also use our [Docker](../deployment/docker.md) image.)
 
 ```bash
 vllm serve NousResearch/Meta-Llama-3-8B-Instruct \
@@ -208,7 +207,7 @@ you can use the [official OpenAI Python client](https://github.com/openai/openai
 
 We support both [Vision](https://platform.openai.com/docs/guides/vision)- and
 [Audio](https://platform.openai.com/docs/guides/audio?audio-generation-quickstart-example=audio-in)-related parameters;
-see our [Multimodal Inputs][multimodal-inputs] guide for more information.
+see our [Multimodal Inputs](../features/multimodal_inputs.md) guide for more information.
 - *Note: `image_url.detail` parameter is not supported.*
 
 Code example: <gh-file:examples/online_serving/openai_chat_completion_client.py>