Kuronga AI Agents neLangChain: Kuvaka Intelligent Zvishandiso muPython

Introduction

Kubatanidzwa kweArtificial Intelligence (AI) uye Machine Learning (ML) mumapurogiramu esoftware kwashandura nzira yatinogadzirisa nayo matambudziko. Nekudaro, sezvo kuomarara kweAI masisitimu kuri kukura, ndizvo zvinoitawo kudiwa kwekuita zvakanaka orchestration uye manejimendi. Apa ndipo panouya LangChain - chimiro chine simba chekuvaka zvine hungwaru maapplication muPython. Muchinyorwa chino, tichaongorora nyika yeLangChain, tichiongorora kugona kwayo, zviitiko zvemashandisirwo epasirese, nzira dzekushandisa, uye nzira dzakanakisa dzekusimudzira budiriro yevagadziri uye hungwaru hwekushandisa.

Chii chinonzi LangChain?

LangChain ndeye yakavhurika-sosi sisitimu yakagadziriswa neMeta AI inogonesa kugadzirwa kwehungwaru maapplication nekuronga maAI agents. Inopa yakabatana interface yekubatanidza akasiyana maAI modhi, data masosi, uye masevhisi, zvichiita kuti zvive nyore kuvaka yakaoma AI masisitimu. LangChain inotsigira mitauro yakawanda yepurogiramu, kusanganisira Python, Rust, uye Go, ichibvumira vanogadzira kusarudza mutauro unonyatsoenderana nezvavanoda.

**Zvinhu zvakakosha zveLangChain **

1. Agent-Based Architecture: LangChain inoshandisa agent-based architecture, apo mumiririri mumwe nomumwe anomiririra imwe AI modhi kana basa. Izvi zvinobvumira kuumbwa kuri nyore uye kurongeka kwevazhinji vamiririri kugadzira yakaoma AI masisitimu.
2. ** Yakabatana Interface **: LangChain inopa hutano hwakabatana hwekubatanidza mhando dzakasiyana dzeAI, zvinyorwa zvemashoko, uye mabasa, zvichiita kuti zvive nyore kuvaka maitiro eAI akaoma.
3. ** Rutsigiro rweMitauro Yakawanda **: LangChain inotsigira mitauro yakawanda yepurogiramu, kusanganisira Python, Rust, uye Go, zvichiita kuti vagadziri vasarudze mutauro unonyatsoenderana nezvavanoda.
4. ** Yakakura Raibhurari yePre-Built Agents **: LangChain inouya neraibhurari yakakura yevasati vavakwa vamiririri vemhando dzakasiyana dzeAI nemasevhisi, zvichiita kuti zvive nyore kutanga nekuvaka zvikumbiro zvine hungwaru.

**Makesi eKushandiswa Kwepasirese Chaiyo **

1. ** Chatbots **: LangChain inogona kushandiswa kugadzira chatbots inobatanidza akawanda maAI maenzaniso, akadai sekunzwisisa mutauro, kuziva chinangwa, uye chizvarwa chekupindura.
2. ** Kurudziro Systems **: LangChain inogona kushandiswa kuvaka hurongwa hwekurudziro hunobatanidza maitiro akawanda eAI, akadai sekusefa kwekubatana, kunyorwa-kwakavakirwa kusefa, uye ruzivo rwegirafu-based filtering.
3. **Virtual Assistants **: LangChain inogona kushandiswa kuvaka vabatsiri vechokwadi vanobatanidza maitiro akawanda eAI, akadai sekuzivikanwa kwekutaura, kunzwisisa mutauro wechisikigo, uye basa rekuita.
4. ** Chizvarwa Chemukati **: LangChain inogona kushandiswa kuvaka zvigadziriso zvekugadzirwa kwezvinhu zvinobatanidza akawanda maAI maenzanisi, akadai sechizvarwa chemutauro, chizvarwa chemifananidzo, uye mavhidhiyo ekugadzirwa.

Matanho ekuita

1. **Tanga neKushandisa Yakareruka Nyaya **: Tanga nekuvaka nyore AI application uchishandisa LangChain, senge chatbot kana yekurudziro system.
2. Sarudza Vamiririri Vakakodzera: Sarudza maajenti akakodzera ekesi yako yekushandisa, zvichienderana nemhando dzeAI nemasevhisi anodiwa.
3. ** Shandisa iyo Unified Interface **: Shandisa iyo yakabatana interface inopiwa neLangChain kuti ubatanidze vamiririri vakawanda uye kuvaka yakaoma AI maitiro.
4. ** Kuedza uye Iterate **: Edza nevamiririri vakasiyana uye zvigadziriso kuti uwane nzira yakanakisa yekesi yako yekushandisa.

**Best Maitiro **

1. **Tevedza LangChain Documentation **: Tevera zvinyorwa zveLangChain kuti uone kuti uri kushandisa hurongwa nenzira yakarurama uye inobudirira.
2. **Shandisai Pre-Built Agents **: Shandisai ma-pre-built agents anopiwa neLangChain kuchengetedza nguva nekuedza.
3. Edza Zvakakwana: Edza AI application yako zvakakwana kuti uone kuti iri kushanda sezvaitarisirwa.
4. ** Ramba Uchiona uye Kuvandudza **: Ramba uchitarisa AI yako yekushandisa uye kuivandudza zvichienderana nemhinduro yemushandisi uye maitiro ekuita.

Pamusoro 5-10 Inonyanya Kushandiswa Mirairo/Zvidimbu

Python

import langchain

# Gadzira nyowani LangChain mumiriri
mumiririri = langchain.Agent(
    zita = "mumiririri_wangu",
    tsananguro="My AI mumiririri",
    mutauro = "python",
    framework="langchain"
)

# Gadzira nyowani LangChain basa
basa = langchain.Task(
    zita = "basa_rangu",
    tsananguro = "Basa rangu reAI",
    input_data={"text": "Mhoro nyika!"}
)

# Mhanya basa racho uchishandisa mumiririri
mhedzisiro = agent.run(basa)

# Dhinda mhedzisiro
dhinda(mhedzisiro)

Ngura

// Ngenisa raibhurari yeLangChain
shandisa langchain::{Agent, Task};

// Gadzira itsva LangChain mumiririri
rega mumiriri = Mumiriri ::nyowani(
    "mumiririri_wangu",
    "AI mumiririri wangu",
    "ngura",
    "langchain"
);

// Gadzira basa idzva reLangChain
regai basa = Basa ::itsva(
    "basa_rangu",
    "Basa rangu reAI",
    vec!["zvinyorwa".to_string()],
    vec![Mutambo::kubva("Mhoro, nyika!")]
);

// Mhanya basa uchishandisa mumiririri
regai mhedzisiro = agent.run(basa);

// Dhinda mhedzisiro
println!("{}", mhedzisiro);

Enda

// Ngenisa raibhurari yeLangChain
package main

import (
    "fmt"
    "github.com/langchain/langchain-go"
)

// Gadzira itsva LangChain mumiririri
func chikuru() {
    mumiririri := langchain.NewAgent(
        "mumiririri_wangu",
        "AI mumiririri wangu",
        "enda",
        "langchain"
    )

    // Gadzira basa idzva reLangChain
    basa := langchain.NewTask(
        "basa_rangu",
        "Basa rangu reAI",
        []tambo{"zvinyorwa"},
        []tambo{"Mhoro, nyika!"}
    )

    // Mhanya basa uchishandisa mumiririri
    mhedzisiro := mumiririri.Mhanya(basa)

    // Dhinda mhedzisiro
    fmt.Println(mhedzisiro)
}

Kuona

{
    mhando: 'bar',
    data: {
        mavara: ['Mumiriri 1', 'Mumiriri 2', 'Mumiriri 3'],
        zvinyorwa: [{
            label: 'Kururama',
            data: [0.8, 0.9, 0.7],
            backgroundColor: [
                'rgba(255, 99, 132, 0.2)',
                'rgba(54, 162, 235, 0.2)',
                'rgba(255, 206, 86, 0.2)'
            ],
            borderColor: [
                'rgba(255, 99, 132, 1)',
                'rgba(54, 162, 235, 1)',
                'rgba(255, 206, 86, 1)'
            ],
            borderWidth: 1
        }]
    },
    sarudzo: {
        zviyero: {
            yAxes: [{
                zvikwekwe: {
                    startAtZero: chokwadi
                }
            }]
        }
    }
}

Iyi chati inoratidza huchokwadi hwevatatu vakasiyana veAI vamiririri mune chaiyo yekushandisa kesi.

Mhedziso

LangChain isimba rine simba rekuvaka zvine hungwaru maapplication muPython. Yayo mumiriri-yakavakirwa dhizaini, yakabatana interface, uye rutsigiro rwemitauro yakawanda inoita kuti ive sarudzo yakanaka kune vanogadzira vari kutsvaga kugadzira yakaoma AI masisitimu. Nekutevera maitiro akanakisa anotsanangurwa muchinyorwa chino uye kushandisa pre-yakavakwa maajenti uye yakabatana interface inopiwa neLangChain, vagadziri vanogona kuvaka zvine hungwaru zvikumbiro zvinobudirira, scalable, uye nyore kuchengetedza.