Gadzira pombi yekupinza data

Tichashandisa LangChain kugadzira iyo yekukurukurirana yekuona chiitiko, ichibvumira vashandisi kudyidzana nehurongwa uye nekupa mamiriro ekuferefeta chiitiko.

import langchain selc

# Gadzira yekukurukurirana interface
interface = lc.ConversationalInterface()

# Wedzera chatbot kune interface
interface.add_chatbot("incident_detection", lc.Chatbot())

# Tanga iyo interface
interface.start()

Knowledge Graph Management

Tichashandisa LangChain kugadzira nekugadzirisa girafu yeruzivo, iyo inochengetedza ruzivo nezvezviitiko, kusanganisira zvinokonzeresa, mhedzisiro, uye zvigadziriso.

import langchain selc

# Gadzira ruzivo rwegirafu
girafu = lc.KnowledgeGraph()

# Wedzera nodes kune girafu
graph.add_node("chiitiko1", lc.Node())
graph.add_node("incident2", lc.Node())

# Wedzera mipendero kune girafu
graph.add_edge("chiitiko1", "chiitiko2", lc.Edge())

Chisarudzo

Tichashandisa DSPy kushandisa AI modhi kugadzirisa zviitiko, tichishandisa girafu yeruzivo kuzivisa kuita sarudzo.

import dSpy se dsp

# Gadzira pombi yekugadzirisa
pombi = dsp.DataPipeline()

# Wedzera AI modhi kune pombi
pipeline.add_model("incident_resolution", dsp.IncidentResolutionModel())

# Tanga pombi
pipeline.start()

Pamusoro 5-10 Inonyanya Kushandiswa Mirairo/Zvidimbu

Heano epamusoro 5-10 anonyanya kushandiswa mirairo/zvimedu zveDSPy uye LangChain:

DSPy

• dsp.DataPipeline(): Inogadzira pombi yedata yekupinza uye kugadzirisa.
• dsp.add_source(): Inowedzera nzvimbo yedata kune pombi.
• dsp.add_model(): Inowedzera AI modhi papombi.
• dsp.start(): Inotanga pombi.
• dsp.stop(): Inomisa pombi.

LangChain

• lc.ConversationalInterface(): Inogadzira chinongedzo chekukurukurirana kuitira kuona chiitiko.
• lc.add_chatbot(): Inowedzera chatbot kune interface.
• lc.start(): Inotanga chimiro.
• lc.KnowledgeGraph(): Inogadzira girafu reruzivo rekutarisira zviitiko.
• lc.add_node(): Inowedzera node kugirafu.
• lc.add_edge(): Inowedzera mupendero pagirafu.

Kuona

Heino ratidziro yezvivakwa zvedu uchishandisa Chart.js:

{
  "type": "pieChart",
  "data": {
    "labels": ["Data Ingestion", "Data Processing", "Incident Detection", "Knowledge Graph Management", "Resolution"],
    "datasets": [
      {
        "label": "Architecture Components",
        "data": [30, 20, 20, 15, 15],
        "backgroundColor": [
          "rgba(255, 99, 132, 0.2)",
          "rgba(54, 162, 235, 0.2)",
          "rgba(255, 206, 86, 0.2)",
          "rgba(75, 192, 192, 0.2)",
          "rgba(153, 102, 255, 0.2)"
        ],
        "borderColor": [
          "rgba(255, 99, 132, 1)",
          "rgba(54, 162, 235, 1)",
          "rgba(255, 206, 86, 1)",
          "rgba(75, 192, 192, 1)",
          "rgba(153, 102, 255, 1)"
        ],
        "borderWidth": 1
      }
    ]
  },
  "sarudzo": {
    "zita": {
      "kuratidza": chokwadi,
      "zvinyorwa": "Architecture Zvikamu"
    },
    "legend": {
      "kuratidza": chokwadi
    }
  }
}

Kuona uku kunoratidza zvikamu zvishanu zvezvivakwa zvedu, nekupinza kwedata uye zvikamu zvekugadzirisa zvinotora chikamu chikuru.

Mhedziso

Muchinyorwa chino, takaratidza nzira yekuvaka scalable dhizaini yeotomatiki yekuongorora chiitiko uchishandisa DSPy uye LangChain. Nekubatanidza kusimba kweaya maviri ekucheka-kumucheto matekinoroji, isu takagadzira yakasimba uye inoshanda sisitimu inosimudzira DevOps kushanda nesimba. Isu takapawo muenzaniso unoshanda wekuita, kusanganisira kodhi snippets uye kuona kwezvivakwa. Nekutora chivakwa ichi, masangano anogona kuvandudza nguva yavo yekupindura chiitiko, kuderedza nguva, uye kuwedzera kuvimbika kwese kwehurongwa.