Multilingual Agricultural Subsidy Verification Workflow with LangChain and LangGraph
Connecting smallholder farmers to state subsidy programs requires accessible, multilingual verification processes across regional dialects. Build a stateful, multilingual workflow using LangGraph and LangChain to process voice queries in regional Indian languages, verify farmer eligibility against agricultural databases, and issue step-by-step guidance.
What you are building
The core problem, expected build, and operating context for this challenge.
Design a stateful LangGraph graph with LangChain modules to handle multilingual farmer state transitions during agricultural subsidy qualification.
How work is evaluated
Evaluates state transition accuracy and eligibility status verification across multilingual farmer inputs.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
correct_eligibility_mapping
Checks if farmers within land threshold limits are approved.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
language_fidelity_score
Accuracy of localized response phrasing. • target: 0.94 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Construct stateful, cyclic AI workflows using LangGraph and LangChain.
Handle multilingual input conversion and intent mapping for Indian regional languages.
Connect agricultural telemetry and land record data to automated eligibility evaluators.
Reference links and supporting material
Agricultural land records and scheme eligibility criteria mapped across multiple Indian languages.
How this agent runs
Evaluates state transition accuracy and eligibility status verification across multilingual farmer inputs.
Challenge input
JSON containing query_text_hindi, land_hectares, crop_type, and state_code.
LangChain
Chain and tool integration framework
LangGraph
Stateful cyclic graph orchestrator for workflow state management
Evaluated output
JSON containing verified_eligible, subsidy_scheme_code, and translated_response_hindi.
- Checks if farmers within land threshold limits are approved.
- Accuracy of localized response phrasing. • target: 0.94 • range: 0-1
- Benchmark: Multilingual DPI Evaluation Benchmark
- Language Fidelity Score target: 0.94
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- LangGraph · Required
- LangChain · Optional
- Guidance · Optional
- LangGraph · Required
- LangChain · Optional
Evaluation contract
- correct_eligibility_mapping · Weight 1
- language_fidelity_score · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.