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CausalInferenceLab
Lang2SQL
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남은일정 구체화
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동욱 edited this page
Apr 14, 2025
·
5 revisions
✅ 해야 할 목록 정리
1. 수도콘 공유 형태 결정
🔹 A. Demo Booth 방식
형태
: 관람객과 직접 상호작용하며 데모 시연
아이디어
: 동일한 데이터셋을 Databricks에도 생성하여 Genie와 결과 비교
준비 항목
:
Databricks 환경 세팅 (데이터 적재, description 작성 등)
Genie와 Lang2SQL 쿼리 생성 시연 인터페이스
장점
:
관람객의 실시간 체험 제공 가능
Lang2SQL 프로젝트가 어느정도로 쿼리를 생성할 수 있는지 비교 가능
우리 오픈소스에 대해 직관적인 이해
단점
:
Databricks 세팅 등 공수가 클것으로 보입니다...ㅠㅠ
의견
databricks를 같이 쓰게되면 얼마나 우리 프로덕트가 genie만큼 성능이 나오는지가 중요할듯
🔹 B. Talk Session 방식
형태
: 인과추론 행사처럼 발표 중심 진행
내용
:
발표 슬라이드 + 구현 내용 요약 + 스크린샷 포함
여러분들을 좀 더 샤라웃 할 수 있도록 해보겠습니다. (구현내용이라던지,,, 사진, 링크드인 등등...)
장점
:
공수가 적음
단점
:
여러분들이 참여할 수 있는 부분이 적습니다ㅜㅜ
2. Dockerize
목표
: 프로젝트 실행 환경의 재현성 확보
구성 요소
:
Lang2SQL 도커라이징
필수 항목
:
.env
기반 설정 분리
Datahub 샘플환경은 그대로 제공할 것인지
docs 작성 강화
3. 기능/편의성 개선
여러 LLM Provider 지원 (예: OpenAI, Claude, Gemini 등)
시각화 기능 추가 (예: SQL 결과 표, 그래프 등)
Agentic 방법론 적용 (예: RAG 구조 정교화)
Raptor, metadata filtering, Chroma ...
Wiki pages
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Home
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2025‐09‐08 스터디
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2025‐09‐15 공유내용
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2025‐09‐29 회의록
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Datahub 구성
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Lang2SQL on Chat service
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Lang2SQL 평가 데이터셋 제작
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Lang2SQL 프로젝트 포스트모템
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Lang2SQL의 refined 된 질문에 대한 평가
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LLM, RAG 관련 기본 지식
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OKF(Open Knowledge Format) 도입 검토
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Snowflake SQL 정확도 평가 방법
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SQLglot을 활용한 post‐process
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Telegram Bot Setting
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Text2SQL 에이전틱 접근법 소개
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Text‐to‐SQL 성능을 높이기 위한 테이블 카테고라이징 전략
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Week1
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Week8
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남은일정 구체화
✅ 해야 할 목록 정리
1. 수도콘 공유 형태 결정
🔹 A. Demo Booth 방식
🔹 B. Talk Session 방식
2. Dockerize
3. 기능/편의성 개선
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회의록 2025‐06‐30 미팅 회의록
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회의록 2025‐07‐28 회의록
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