**Kushandisa Orchestration Zvishandiso zveAI-Powered Software Architecture **

Introduction

Kuwedzera kuri kuda kweAI-powered software architecture kwakonzera kugadzirwa kwezvishandiso zvakasiyana-siyana zvekuimba zvinogonesa kubatanidza zvisina musono kweArtificial Intelligence (AI) uye Machine Kudzidza (ML) kugona mumasoftware masisitimu. Muchikamu chino, tichaongorora kushandiswa kweAI-driven software architecture tichishandisa maturusi ekuimba seLangChain neDSPy, tichitarisa kubatanidza RAG (Reasoning and Action Graph) uye LLM (Large Language Model) kukwanisa kwekuwedzera scalability, kushanda, uye kuchengeteka.

Chii chinonzi Orchestration Tools?

Zvishandiso zveOrchestration zvigadziriso zvesoftware zvinogonesa otomatiki yeakaomesesa workflows uye maitiro nekubatanidza akawanda masevhisi, maapplication, uye masisitimu. Ivo vanopa yepakati chikuva chekutonga uye kuronga kudyidzana pakati pezvikamu zvakasiyana, kuve nechokwadi chekuita kwakanaka uye kunotyisa kwekuita kwemabasa.

**LangChain: A Python-Yakavakirwa Orchestration Turusi **

LangChain iraibhurari yakavhurika-sosi yePython inopa hurongwa hwakakwana hwekuvaka AI-powered software architecture. Inopa huwandu hwezvinhu, kusanganisira:

• ** RAG (Kukurukurirana uye Chiito Girafu) Kubatanidzwa **: LangChain inopa yakavakirwa-muRAG kushandiswa, ichigonesa kusikwa kwekufunga kwakaoma uye magirafu ekuita anogona kushandiswa kuenzanisira uye kuita AI-inofambiswa basa mafambiro.
• ** LLM (Mutauro Mukuru weMutauro) Kubatanidzwa **: LangChain inotsigira kubatanidzwa kweLLMs, yakadai seLLaMA neBERT, nokuda kwekugadzirisa mutauro wechisikigo uye mabasa echizvarwa.
• ** Scalability uye Performance **: LangChain yakagadzirirwa kubata makuru-akawanda eAI basa remitoro, ichipa hunyanzvi uye scalable kuita kwemabasa.

Kuita AI-Driven Software Architecture neLangChain

Kuratidza kushandiswa kweAI-inotyairwa software architecture uchishandisa LangChain, ngatifungei muenzaniso wakapfava wechatbot inoshandisa RAG kufunga nezvemibvunzo yemushandisi uye kugadzira mhinduro.

import langchain
kubva ku langchain.chains import llm


rag = langchain.RAG(
    zita = "chatbot_rag",
    nodes=[
        {"name": "greeting", "text": "Mhoro, ndingakubatsira sei?"},
        {"name": " mofamba zvakanaka", "text": "Mofamba zvakanaka, kwanga kwakanaka kutaura nemi."},
    ],
    kumativi=[
        {"from": "kukwazisa", "ku": " mofamba zvakanaka", "condition": "mushandisi_achiti_zvakanakai"},
    ],
)

# Gadzira iyo LLM
llm = llm.LLM(
    zita = "chatbot_llm",
    muenzaniso="llama",
    max_tokens=100,
)

# Gadzira chatbot cheni
cheni = langchain.Chain(
    zita = "chatbot_chain",
    llm=llm,
    mvemve = mvemve,
)

# Edza iyo chatbot
user_input = "Mhoro, uri sei?"
mhinduro = chain.run(user_input)
dhinda(mhinduro)

**DSPy: A Rust-based Orchestration Turusi **

DSPy iRust-based orchestration chishandiso chinopa yakakwirira-kuita uye scalable chimiro chekuvaka AI-powered software architecture. Inopa huwandu hwezvinhu, kusanganisira:

• ** RAG (Kukurukurirana uye Kuita Girafu) Kubatanidzwa **: DSPy inopa yakavakirwa-muRAG kuita, ichigonesa kusikwa kwekufunga kwakaoma uye kuita magirafu anogona kushandiswa kuenzanisira nekuita AI-inotyairwa workflows.
• **LLM (Mutauro Mukuru Mutevedzeri) Kubatanidzwa **: DSPy inotsigira kubatanidzwa kweLLMs, yakadai seLLaMA neBERT, yekugadzirwa kwemutauro wechisikigo uye mabasa echizvarwa.
• ** Scalability uye Performance **: DSPy yakagadzirirwa kubata hombe-akakura AI mabasa ebasa, achipa mashandiro uye scalable kuitwa kwemabasa.

**Kuita AI-Driven Software Architecture ne DSPy **

Kuratidza kuitwa kweAI-inofambiswa nesoftware yekuvaka uchishandisa DSPy, ngatifungei muenzaniso wakapfava wechatbot inoshandisa RAG kufunga nezvemibvunzo yemushandisi uye kugadzira mhinduro.

shandisa dspy :: cheni;
shandisa dspy::llm;

// Gadzira RAG
rega rag = cheni::RAG::itsva(
    "chatbot_rag",
    vec![
        cheni::Node::new("mhoroi", "Mhoro, ndingakubatsira sei?"),
        chain::Node::new(" mofamba zvakanaka", "Mofamba zvakanaka, kwanga kwakanaka kutaura newe."),
    ],
    vec![
        cheni ::Edge::new("mhoro", "ndosara zvakanaka", "mushandisi_achiti_zvakanaka"),
    ],
);

// Gadzira iyo LLM
let llm = llm::LLM::new(
    "chatbot_llm",
    "lama",
    100,
);

// Gadzira chatbot cheni
regai cheni = cheni::Chain::new(
    "chatbot_chain",
    llm,
    mvemve,
);

// Edzai chatbot
regai user_input = "Mhoro, uri sei?";
rega mhinduro = chain.run(user_input);
println!("{}", mhinduro);

Pamusoro 5-10 Inonyanya Kushandiswa Mirairo/Zvidimbu

Heano mamwe emirairo anonyanya kushandiswa uye zvimedu zveLangChain uye DSPy:

• LangChain:
  • langchain.RAG(): Inogadzira chiitiko chitsva cheRAG.
  • langchain.LLM(): Inogadzira chiitiko chitsva cheLLM.
  • langchain.Chain(): Inogadzira chiitiko chitsva chetani.
  • rag.run(): Inomhanya iyo RAG uye inogadzira mhinduro.
  • llm.run(): Inomhanya iyo LLM uye inogadzira mhinduro.
• DSPy:
  • dspy::chain::RAG::new(): Inogadzira chiitiko chitsva cheRAG.
  • dspy::llm::LLM::new(): Inogadzira chiitiko chitsva cheLLM.
  • dspy::chain::Chain::new(): Inogadzira chiitiko chitsva chetani.
  • chain.run(): Inomhanyisa cheni uye inogadzira mhinduro.

Kuona

Heino tarisiro yakapfava yeRAG neLLM kugona uchishandisa Chart.js:

const ctx = document.getElementById('myChart').getContext('2d');
const chati = Chati itsva (ctx, {
    mhando: 'bar',
    data: {
        mavara: ['RAG', 'LLM'],
        zvinyorwa: [{
            label: 'Kugona',
            data: [10, 20],
            backgroundColor: [
                'rgba(255, 99, 132, 0.2)',
                'rgba(54, 162, 235, 0.2)',
            ],
            borderColor: [
                'rgba(255, 99, 132, 1)',
                'rgba(54, 162, 235, 1)',
            ],
            borderWidth: 1
        }]
    },
    sarudzo: {
        zviyero: {
            y:{
                startAtZero: chokwadi
            }
        }
    }
});

Mhedziso

LangChain neDSPy zvigadziriso zvine simba zvinogonesa kushandiswa kweAI-inofambiswa nesoftware architecture uchishandisa RAG neLLM kugona. Nekushandisa maturusi aya, vagadziri vanogona kugadzira scalable, inoita, uye yakachengeteka software masisitimu anogona kubata yakaoma AI mabasa. Nekureruka kwavo kwekushandisa uye kuchinjika, LangChain neDSPy isarudzo dzakakodzera dzekuvaka AI-powered software architecture.

Kurudziro

Zvichienderana nenhaurirano iri muchinyorwa chino, heano mamwe kurudziro kune vanogadzira vanoda kushandisa AI-inotyairwa software architecture vachishandisa LangChain uye DSPy:

• Tanga nekudzidza izvo zvekutanga zveLangChain uye DSPy, kusanganisira yavo RAG uye LLM kugona.
• Edza nemienzaniso yakapusa, senge chatbot muenzaniso, kuti unzwe kuti maturusi anoshanda sei.
• Zvishoma nezvishoma enda kumapurojekiti akaomarara, akadai sekuvaka hurongwa hwekurudziro kana pombi yekugadzira mutauro wechisikigo.
• Shandisa iyo Yepamusoro 5-10 Inonyanya Kushandiswa Mirairo/Snippets chikamu segwara rereferenzi rezvakajairika mirairo uye zvimedu.
• Ratidza kugona kwako kweRAG neLLM uchishandisa Chart.js kuti uwane kunzwisisa kuri nani kwehukama pakati pezvikamu zvakasiyana.

Nekutevera kurudziro idzi, vanogadzira vanogona kuvhura iyo yakazara kugona kweLangChain neDSPy uye kuvaka AI-powered software architecture inokwanisa kubata mabasa akaomarara uye inopa yakasarudzika mashandiro uye scalability.