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LangChain Component - Coggle Diagram
LangChain Component
2.스키마
텍스트(Text)
채팅메시지(ChatMessage)
시스템채팅메시지(SystemChatMessage)
사용자채팅메시지(HumanChatMessage)
AI채팅메시지(AIChatMessage)
예시(Examples)
문서(Document)
Page_Content+metadata로 구성
4.인덱스
텍스트분할기(Text Splitters)
Markdown Text Splitter
Recursive Character Text Splitter
Token Text Splitter
Character Text Splitter
벡터 저장소(VectorStores)
Pinecone Load Existing Index
Pinecone Upsert Document
In-Memory Vector Store
Supabase Load Existing Index
Faiss Upsert Document
Supabase Upsert Document
Faiss Load Existing Index
Weaviate Load Existing Index
Weaviate Upsert Document
Chroma Insert Documet
Chroma Load Existing Index
문서로더(Document Loaders)
Cheerio Web Scraper
Confluence
Csv File
Docx File
Folder with Files
Github
Json File
Notion Database
Notion Folder
Pdf File
Text File
검색기(Retrievers)
Prompt Retriever
Vector Store Retriever
3.프롬프트
프롬프트 템플릿(Prompt Templates)
예시 선택자(Example Selectors)
프롬프트 값(PromptValue)
출력파서(Output Parsers)
flowise
Few Shot Prompt Template
Prompt Template
Chat Prompot Template
1.모델
채팅모델(Chat Models)
ChatAnthropic
ChatLocalAI
Azure ChatOpenAI
ChatOpenAI
텍스트임베딩모델(Text Embedding Models)
Cohere Embeddings
HuggingFace Inference Embedding
Azure OpenAI Embeddings
OpenAI Embeddings
대규모언어모델(LLMs)
Cohere
HuggingFace Inference
Azure OpenAI
OpenAI
7.메모리
장기메모리
채팅 메시지히스토리(Chat Message History)
단기메모리
flowise
Buffer Window Memory
Conversation Summary Memory
Buffer memory
6.에이전트
툴킷(Toolkits)
에이전트(Agents)
BabyAGI
AutoGPT
MRKL Agent for Chat Models
MRKL Agents for LLMs
Conversational Agent
도구(Tools)
Chain Tool
Make.com Webhook
Calculator
OpenAI Toolkit
Read File
Request Get
Request Post
Serp API
Serper
AI Plugin
Zapier NLA
Write File
Web Brower
에이전트 실행기(Agent Executor)
5.체인
LLM체인(LLMChain)
PromptTemplate
Model(LLM or ChatModel)
출력파서
체인(Chain)
LLM Chain
Multi Prompt Chain
Conversation Chain
Multi Retrieval QA Chain
Conversational Retrieval QA Chain
Retrieval QA Chain
POST API Chain
Sql Database Chain
VectorDB QA Chain
프롬프트 선택자(Prompt Selector)
인덱스 연관체인(Index-related chains)
스터핑(Stuffing)
맵리듀스(Map Reduce)
리파인(Refine)
맵-리랭크(Map-Rerank)