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docs: turn on link check (#18924)

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Bagatur
2024-03-11 10:50:39 -07:00
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commit 34284c25d4
15 changed files with 64 additions and 66 deletions
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templates/sql-pgvector/README.md
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@@ -40,7 +40,7 @@ Apart from having `pgvector` extension enabled, you will need to do some setup b
In order to run RAG over your postgreSQL database you will need to generate the embeddings for the specific columns you want.
This process is covered in the [RAG empowered SQL cookbook](cookbook/retrieval_in_sql.ipynb), but the overall approach consist of:
This process is covered in the [RAG empowered SQL cookbook](https://github.com/langchain-ai/langchain/blob/master/cookbook/retrieval_in_sql.ipynb), but the overall approach consist of:
1. Querying for unique values in the column
2. Generating embeddings for those values
3. Store the embeddings in a separate column or in an auxiliary table.
@@ -102,4 +102,4 @@ We can access the template from code with:
from langserve.client import RemoteRunnable
runnable = RemoteRunnable("http://localhost:8000/sql-pgvector")
```
```