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@ -873,7 +873,7 @@ a {
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<td>The encoding model to use for chunking.</td>
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<td><code>str</code></td>
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<td>optional</td>
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<td><code>None</code></td>
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<td>The top-level encoding model.</td>
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</tr>
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</tbody>
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</table>
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@ -911,6 +911,13 @@ a {
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<td><code>organization,person,event,geo</code></td>
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</tr>
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<tr>
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<td><code>GRAPHRAG_ENTITY_EXTRACTION_ENCODING_MODEL</code></td>
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<td>The encoding model to use for entity extraction.</td>
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<td><code>str</code></td>
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<td>optional</td>
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<td>The top-level encoding model.</td>
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</tr>
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<tr>
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<td><code>GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE</code></td>
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<td>The path (relative to the root) of an description summarization prompt template text file.</td>
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<td><code>str</code></td>
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@ -953,6 +960,13 @@ a {
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<td>1</td>
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</tr>
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<tr>
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<td><code>GRAPHRAG_CLAIM_EXTRACTION_ENCODING_MODEL</code></td>
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<td>The encoding model to use for claim extraction.</td>
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<td><code>str</code></td>
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<td>optional</td>
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<td>The top-level encoding model</td>
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</tr>
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<tr>
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<td><code>GRAPHRAG_COMMUNITY_REPORTS_PROMPT_FILE</code></td>
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<td>The community reports extraction prompt to utilize.</td>
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<td><code>string</code></td>
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@ -411,6 +411,7 @@ API_KEY=some_api_key
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<li><code>prompt</code> <strong>str</strong> - The prompt file to use.</li>
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<li><code>entity_types</code> <strong>list[str]</strong> - The entity types to identify.</li>
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<li><code>max_gleanings</code> <strong>int</strong> - The maximum number of gleaning cycles to use.</li>
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<li><code>encoding_model</code> <strong>str</strong> - The text encoding model to use. By default, this will use the top-level encoding model.</li>
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<li><code>strategy</code> <strong>dict</strong> - Fully override the entity extraction strategy.</li>
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</ul>
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<h2>summarize_descriptions</h2>
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@ -433,6 +434,7 @@ API_KEY=some_api_key
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<li><code>prompt</code> <strong>str</strong> - The prompt file to use.</li>
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<li><code>description</code> <strong>str</strong> - Describes the types of claims we want to extract.</li>
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<li><code>max_gleanings</code> <strong>int</strong> - The maximum number of gleaning cycles to use.</li>
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<li><code>encoding_model</code> <strong>str</strong> - The text encoding model to use. By default, this will use the top-level encoding model.</li>
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<li><code>strategy</code> <strong>dict</strong> - Fully override the claim extraction strategy.</li>
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</ul>
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<h2>community_reports</h2>
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