Implement RAGAS metrics

This commit is contained in:
William Jeynes
2026-02-12 22:52:22 +00:00
parent 6dd6bf7eaf
commit c89f73e138
6 changed files with 24 additions and 21 deletions
+4 -5
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@@ -4,9 +4,8 @@ import { createToolNode } from "./nodes/tool";
import { createToolConditional } from "./conditionals/tool_end";
import { normalizationSetup } from "./nodes/normalizationSetup";
import { triggerEventToolsByName } from "./tools/triggerEventTools"
import { createDummyModelNode } from "./nodes/dummyModel";
import { verificationSetup } from "./nodes/verificationSetup";
import { dummyRagasMetrics } from "./nodes/dummyRagasMetrics";
import { ragasMetrics } from "./nodes/ragasMetrics";
import { produceRanking } from "./nodes/produceRanking";
import { createModelNode } from "./nodes/model";
import { loopEndConditional } from "./conditionals/loop_end";
@@ -31,7 +30,7 @@ const agent = new StateGraph(MessagesState)
.addNode(verificationSetup.name, verificationSetup)
.addNode("verificationModel", verificationModel)
.addNode(dummyRagasMetrics.name, dummyRagasMetrics)
.addNode(ragasMetrics.name, ragasMetrics)
.addNode(produceRanking.name, produceRanking)
.addEdge(START, normalizationSetup.name)
@@ -43,9 +42,9 @@ const agent = new StateGraph(MessagesState)
.addEdge("triggerEventToolNode", "triggerEventModel")
.addEdge(verificationSetup.name, "verificationModel")
.addEdge(verificationSetup.name, dummyRagasMetrics.name)
.addEdge(verificationSetup.name, ragasMetrics.name)
.addEdge(dummyRagasMetrics.name, produceRanking.name)
.addEdge(ragasMetrics.name, produceRanking.name)
.addEdge("verificationModel", produceRanking.name)
// @ts-expect-error
-11
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@@ -1,11 +0,0 @@
import { GraphNode } from "@langchain/langgraph";
import { MessagesState } from "../state";
import { AIMessage, HumanMessage } from "@langchain/core/messages";
export const dummyRagasMetrics: GraphNode<typeof MessagesState> = async (state) => {
//TODO: get ragas metrics
return {
messages: [ new AIMessage("RAGASSED : " + state.messages.at(-1)?.content)]
};
};
-2
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@@ -6,8 +6,6 @@ import { rankFromCSV } from "../tools/clan/retreiveExamples";
export const normalizationSetup: GraphNode<typeof MessagesState> = async (state) => {
let similarityResults = await rankFromCSV(state.disinformationTitle)
console.log(similarityResults)
let messages : BaseMessage[] = similarityResults.map((item) => {
return new AIMessage(`Original Claim: ${item.rawtext}. \n\n Normalised Claim: ${item.cleantext}`)
})
+18
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@@ -0,0 +1,18 @@
import { GraphNode } from "@langchain/langgraph";
import { MessagesState } from "../state";
import { AIMessage, HumanMessage } from "@langchain/core/messages";
import { evaluateWithRagas } from "../tools/ragasCall";
export const ragasMetrics: GraphNode<typeof MessagesState> = async (state) => {
const question = "A possible trigger event for: " + state.disinformationTitle //Should it be raw, or normalized?
const answer = state.proposedTriggerEvent[state.proposedTriggerEventIndex].Event
const contexts = state.proposedTriggerEvent[state.proposedTriggerEventIndex].context?.split("^^^") ?? []
console.log(contexts)
const results = await evaluateWithRagas({question, answer, contexts})
return {
messages: [ new AIMessage("RAGAS:" + results.faithfulness)]
};
};
+1 -2
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@@ -6,8 +6,7 @@ import { rankAndDisplayData } from "../tools/triggerEventTools";
export const verificationSetup: GraphNode<typeof MessagesState> = async (state) => {
//this is kinda doing two things, but having two nodes for it seems overkill
console.log(state.proposedTriggerEvent)
console.log(state.proposedTriggerEventIndex)
if (state.proposedTriggerEvent == undefined) {
logger.warn("No trigger events in memory, parsing")
+1 -1
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@@ -48,7 +48,7 @@ export async function queryScraper(query: string): Promise<string[]> {
const desc = (item.description ?? "").trim();
const link = (item.url ?? "").trim();
return `- ${title}\n ${desc}\n ${link}`;
return `^^^ ${title}\n ${desc}\n ${link}`;
});
return lines;