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Mention other function calling/grammar support (#12369)
In our extraction doc
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"### Going deeper\n",
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"### Going deeper\n",
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"\n",
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"\n",
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"* The [output parser](/docs/modules/model_io/output_parsers/) documentation includes various parser examples for specific types (e.g., lists, datetime, enum, etc). \n",
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"* The [output parser](/docs/modules/model_io/output_parsers/) documentation includes various parser examples for specific types (e.g., lists, datetime, enum, etc). \n",
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"* The experimental [Anthropic function calling](https://python.langchain.com/docs/integrations/chat/anthropic_functions) support provides similar functionality to Anthropic chat models.\n",
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"* [LlamaCPP](https://python.langchain.com/docs/integrations/llms/llamacpp#grammars) natively supports constrained decoding using custom grammars, making it easy to output structured content using local LLMs \n",
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"* [JSONFormer](/docs/integrations/llms/jsonformer_experimental) offers another way for structured decoding of a subset of the JSON Schema.\n",
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"* [JSONFormer](/docs/integrations/llms/jsonformer_experimental) offers another way for structured decoding of a subset of the JSON Schema.\n",
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"* [Kor](https://eyurtsev.github.io/kor/) is another library for extraction where schema and examples can be provided to the LLM."
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"* [Kor](https://eyurtsev.github.io/kor/) is another library for extraction where schema and examples can be provided to the LLM."
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]
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]
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@ -598,7 +600,7 @@
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"name": "python",
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"name": "python",
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"nbconvert_exporter": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"pygments_lexer": "ipython3",
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"version": "3.9.1"
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"version": "3.11.2"
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}
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}
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},
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},
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"nbformat": 4,
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"nbformat": 4,
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