docs: add Timbr tools integration #32862
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CodSpeed WallTime Performance ReportMerging #32862 will improve performances by 17.55%Comparing
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| Benchmark | BASE |
HEAD |
Change | |
|---|---|---|---|---|
| ⚡ | test_import_time[InMemoryVectorStore] |
688.8 ms | 619.4 ms | +11.2% |
| ⚡ | test_import_time[RunnableLambda] |
560.7 ms | 477 ms | +17.55% |
CodSpeed Instrumentation Performance ReportMerging #32862 will not alter performanceComparing Summary
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feat(integrations): Add Timbr tools integration
DESCRIPTION
This PR adds comprehensive documentation and integration support for Timbr's semantic layer tools in LangChain.
Timbr provides an ontology-driven semantic layer that enables natural language querying of databases through business-friendly concepts. It connects raw data to governed business measures for consistent access across BI, APIs, and AI applications.
langchain-timbris a Python SDK that extends LangChain and LangGraph with custom agents, chains, and nodes for seamless integration with the Timbr semantic layer. It enables converting natural language prompts into optimized semantic-SQL queries and executing them directly against your data.What's Added:
langchain-timbrpackageIntegration Components:
IdentifyTimbrConceptChain- Identify relevant concepts from user promptsGenerateTimbrSqlChain- Generate SQL queries from natural languageValidateTimbrSqlChain- Validate queries against knowledge graph schemasExecuteTimbrQueryChain- Execute queries against semantic databasesGenerateAnswerChain- Generate human-readable answers from resultsDocumentation Added
/docs/integrations/providers/timbr.mdx- Provider overview and configuration/docs/integrations/tools/timbr.ipynb- Comprehensive tool usage examplesLinks