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docs: templates updated titles (#25646)

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Updated titles into a consistent format. 
Fixed links to the diagrams.
Fixed typos.
Note: The Templates menu in the navbar is now sorted by the file names.
I'll try sorting the navbar menus by the page titles, not the page file
names.
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Leonid Ganeline
2024-08-23 01:19:38 -07:00
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templates/rag-self-query/README.md
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# rag-self-query
# RAG - Elasticsearch - Self-query
This template performs RAG using the self-query retrieval technique. The main idea is to let an LLM convert unstructured queries into structured queries. See the [docs for more on how this works](https://python.langchain.com/docs/modules/data_connection/retrievers/self_query).
This template performs RAG using the `self-query` retrieval technique.
The main idea is to let an LLM convert unstructured queries into
structured queries. See the [docs for more on how this works](https://python.langchain.com/docs/modules/data_connection/retrievers/self_query).
## Environment Setup
In this template we'll use OpenAI models and an Elasticsearch vector store, but the approach generalizes to all LLMs/ChatModels and [a number of vector stores](https://python.langchain.com/docs/integrations/retrievers/self_query/).
In this template we'll use `OpenAI` models and an `Elasticsearch` vector store, but the approach generalizes to all LLMs/ChatModels and [a number of vector stores](https://python.langchain.com/docs/integrations/retrievers/self_query/).
Set the `OPENAI_API_KEY` environment variable to access the OpenAI models.
Set the `OPENAI_API_KEY` environment variable to access the `OpenAI` models.
To connect to your Elasticsearch instance, use the following environment variables:
To connect to your `Elasticsearch` instance, use the following environment variables:
```bash
export ELASTIC_CLOUD_ID = <ClOUD_ID>