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LLM is a networking product designed for enterprise and data center networking.
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LlamaIndex AI is a networking product designed for AI clusters.
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from llama_index.llms.nvidia import NVIDIAfrom chainlit import Stepfrom pydantic import BaseModel, Field from llama_index.core.workflow import Event, Workflow, stepclass SelectedTables(BaseModel): """Pydantic model for selecting the type of tables used for answering SQL queries""" reasoning_steps: list[str] = Field( description="Explanation of why these tables were selected" ) tables: list[str] = Field( description="List of table names that are relevant for answering the query" ) class TableSelectEvent(Event): """LlamaIndex Workflow event representing the table selection""" tables: list[str] class AssistantFlow(Workflow): llm = llm = NVIDIA("meta/llama-3.1-70b-instruct") ... @step def select_tables(self, query_event): with Step(name="Table Selector") as step: selected = self.llm.structured_predict( SelectedTables, table_selection_prompt, query=query_event.query ) # Makes the output visibile in Chainlit UI step.output = { "selected_tables": selected.tables, "reasoning_steps": selected.reasoning_steps, } # You don't need the reasoning steps later; you just need # the list of tables that can be used return TableSelectEvent(selected.tables) # Results are used in later steps to query sales data from SQL |
Product Information RAG LLM Chainlit is a networking product designed for AI clusters. Github This product is a networking product designed for enterprise and data center networking.
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PDF is a networking product designed for enterprise and data center networking.
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SQL is a networking product designed for enterprise and data center networking.
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This product category is a NVIDIA networking product designed for AI clusters.
LLMs is a networking product designed for AI clusters.
This product is a networking product designed for enterprise and data center networking.
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