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legal-ai-intake-system
legal-ai-intake-system PublicSecurity-focused AI backend for legal intake: layered guardrails, staged cost accounting, failure handling, and an operator dashboard. Built with Spring Boot and React.
Java 1
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ai-multi-agent-orchestration
ai-multi-agent-orchestration PublicAI multi-agent orchestration with langchain Rag vector DB, security guardrails, conflict control, real-world workflow feedback, and human-AI collaboration practices.
Java 1
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legal-intake-fastapi-lab
legal-intake-fastapi-lab PublicA FastAPI learning project adapting Legal Intake workflows with sync/async APIs, OpenAI integration, and planned NeMo Guardrails Python actions.
Python 1
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langchain-rag-research-agent
langchain-rag-research-agent Publicmy 2nd multi agent research w langchain vectorDB similarity equalizer filter Langchain-Rag-research-agent proto type
Python 1
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spring-fastapi-async-refactor
spring-fastapi-async-refactor PublicRefactoring a legal intake service from blocking threads to Java 21 virtual threads (Spring Boot) and asyncio (FastAPI): design, study notes, phase specs and before/after benchmarks.
Mermaid
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