RAG & Agent

다양한 RAG에 대한 자료를 수집합니다.

Ⅰ. RAG

RAG (Retriever Augmented Generation)에 관한 모든 레퍼런스를 소개합니다.

• Core Library

  • LangChain

    • https://www.langchain.com/

  • Langgraph

    • https://github.com/langchain-ai/langgraph

  • Langfuse

    • https://github.com/langfuse/langfuse

  • Langmem

    • https://github.com/langchain-ai/langmem

• Application Library

  • pyscript

    • https://github.com/pyscript/pyscript

  • Chainlit

    • https://github.com/Chainlit/chainlit

  • Ollama

    • https://github.com/ollama/ollama

• Reference

  • Langchain Open Tutorial : https://langchain-opentutorial.gitbook.io/langchain-opentutorial

Ⅱ. VectorDB

• Vector db comparison

  • https://superlinked.com/vector-db-comparison

• FAISS

  • https://github.com/facebookresearch/faiss

• HNSWlib

  • https://github.com/nmslib/hnswlib

• ChromaDB

  • https://github.com/chroma-core/chroma

• Clickhouse

  • https://clickhouse.com/

• ParadeDB

  • https://www.paradedb.com/

Ⅲ. Agent

• BabyAGI

• Autonomous Agent

• HAAS (Hierarchical Autonomous Agent Swarm)

  • https://github.com/daveshap/OpenAI_Agent_Swarm

• Swarm

  • https://github.com/openai/swarm

• OpenDevin

  • https://github.com/AI-App/OpenDevin.OpenDevin

• OpenHands

  • https://github.com/All-Hands-AI/OpenHands

• AWS multi-agent-orchestrator

  • https://github.com/awslabs/multi-agent-orchestrator

• SmolAgent

  • https://huggingface.co/blog/smolagents

• Browser Use

  • https://github.com/browser-use/browser-use

• Agent Laboratory

  • https://github.com/SamuelSchmidgall/AgentLaboratory

• AiSuite

  • https://github.com/andrewyng/aisuite

• Agno

  • https://github.com/agno-agi/agno

Ⅳ. Conference

• if kakao 2024

  • 공공데이터를 활용한 RAG 기술구현 및 프레임워크 소개

    • https://www.youtube.com/watch?v=jCEgRK7GgXs&t=139s

  • 생성형 ai를 이용한 개체명 인식 (NER)

    • https://www.youtube.com/watch?v=jYmOPXqdEC4

  • 나의 컨텍스트를 아는 친구, Context Aware AI Mate

    • https://www.youtube.com/watch?v=DnJaHvIWt4w

• Naver DAN24

  • 네이버 검색이 이렇게 좋아졌어? LLM의 Re-Ranking Ability 검색에 이식하기

    • https://dan.naver.com/24/sessions/604

  • 서치피드 : SERP를 넘어 SURF로! 검색의 새로운 물결

    • https://dan.naver.com/24/sessions/620

  • 사람을 대신해야 진짜 AI지? : LLM 기반 임베딩부터 검색 품질 자동 평가 모델까지

    • https://dan.naver.com/24/sessions/591

  • 벡터 검색의 정점에 오르다 : 최적의 뉴럴검색엔진으로 업그레이드 하기.

    • https://dan.naver.com/24/sessions/587

  • LLM for Search : 꽁꽁 얼어붙은 검색 서비스 위로 LLM이 걸어다닙니다.

    • https://dan.naver.com/24/sessions/588