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Fix typo in documentation for customizability (#1160)

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Corrected a misspelling of 'customizability' in the env_vars.md documentation. This change ensures clarity and accuracy in the description of input data handling configurations.

Co-authored-by: Alonso Guevara <alonsog@microsoft.com>
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JunHo Kim (김준호) 2024-09-21 05:52:44 +09:00 committed by GitHub
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docsite/posts/config/env_vars.md
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@ -25,7 +25,7 @@ If the embedding target is `all`, and you want to only embed a subset of these f
## Input Data
Our pipeline can ingest .csv or .txt data from an input folder. These files can be nested within subfolders. To configure how input data is handled, what fields are mapped over, and how timestamps are parsed, look for configuration values starting with `GRAPHRAG_INPUT_` below. In general, CSV-based data provides the most customizeability. Each CSV should at least contain a `text` field (which can be mapped with environment variables), but it's helpful if they also have `title`, `timestamp`, and `source` fields. Additional fields can be included as well, which will land as extra fields on the `Document` table.
Our pipeline can ingest .csv or .txt data from an input folder. These files can be nested within subfolders. To configure how input data is handled, what fields are mapped over, and how timestamps are parsed, look for configuration values starting with `GRAPHRAG_INPUT_` below. In general, CSV-based data provides the most customizability. Each CSV should at least contain a `text` field (which can be mapped with environment variables), but it's helpful if they also have `title`, `timestamp`, and `source` fields. Additional fields can be included as well, which will land as extra fields on the `Document` table.
## Base LLM Settings