Files
learning-platform/src/components/chat/rag.js
RaymondVerhoef 85452f66a7 feat(r42): improve KB grounding accuracy and add clear-history
R42 was missing knowledge-graph information (e.g. pension questions)
because retrieval and context-building dropped relevant facts:

- retrieval: exact-token TF-IDF could not match Dutch compound words,
  so a "pensioen" query scored 0 against "pensioenregeling" /
  "partnerpensioen" and never retrieved them. Add a compound-word
  fallback (shared >=6-char stem or containment, 0.4x weight) alongside
  exact matching.
- rag: deep article content was only injected for verbatim-mentioned
  topics; retrieved topics contributed just a 200-char description.
  Inject ~1000 chars of content for up to 5 topics (mentions first,
  then top-ranked retrieved) and widen the description snippet to 320.
- prompts: add a NAUWKEURIGHEID block (use all relevant facts, call
  lookup_topic before giving up) and relax the 4-sentence cap for
  detail/list answers so complete facts aren't summarised away.

Also add a clear-history control: a trash button in the chat header
(confirm dialog) wipes chat🧵{userId} and reseeds the greeting
via clearThread() in useChat.

Tests: compound-word matching + rag deep-content injection. Spec updated.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-13 14:25:08 +02:00

197 lines
7.6 KiB
JavaScript

import * as db from '../../lib/db';
import { buildIndex, retrieveTopK } from '../../lib/retrieval';
const TOP_K = 10;
// How many topics get their full article body injected (not just the short
// description). Verbatim-mentioned topics come first, then the highest-ranked
// retrieved ones, so a query that never names a topic exactly still gets rich
// content for what it matched.
const DEEP_CONTENT_LIMIT = 5;
const DEEP_SNIPPET_CHARS = 1000;
const DESC_SNIPPET_CHARS = 320;
async function sha256Hex(input) {
const enc = new TextEncoder().encode(input);
if (globalThis.crypto?.subtle?.digest) {
const buf = await globalThis.crypto.subtle.digest('SHA-256', enc);
return Array.from(new Uint8Array(buf)).map(b => b.toString(16).padStart(2, '0')).join('');
}
let h = 2166136261 >>> 0;
for (let i = 0; i < input.length; i++) {
h ^= input.charCodeAt(i);
h = Math.imul(h, 16777619);
}
return (h >>> 0).toString(16).padStart(8, '0');
}
/**
* Build a retrieval-scoped KB context. Instead of dumping the whole graph,
* we pick the top-K topics by TF-IDF over `userMessage`, plus any topic
* whose id or label appears verbatim in the message. Relations are filtered
* to those that touch the included set.
*
* A `[kb_hash: …]` suffix is appended so the Anthropic ephemeral prompt
* cache automatically busts when topics are added/removed.
*
* Returns:
* { context, retrievedTopics, allTopics }
* — `allTopics` is the full PocketBase list so callers can still run
* `validateDelta` against the entire current graph.
*/
export async function buildKbContext(userMessage = '') {
const [allTopics, allRelations] = await Promise.all([
db.getTopics(),
db.getRelations(),
]);
const sortedIds = allTopics.map(t => t.id).sort().join('|');
const fullHash = await sha256Hex(sortedIds);
const kbHash = fullHash.slice(0, 8);
if (allTopics.length === 0) {
return {
context: `KENNISGRAAF: (leeg — er zijn nog geen onderwerpen geëxtraheerd)\n[kb_hash: ${kbHash}]`,
retrievedTopics: [],
allTopics: [],
};
}
const lowered = userMessage.toLowerCase();
const mentionedIds = new Set();
for (const t of allTopics) {
const idHit = t.id && lowered.includes(t.id.toLowerCase());
const labelHit = t.label && lowered.includes(t.label.toLowerCase());
if (idHit || labelHit) mentionedIds.add(t.id);
}
const index = buildIndex(allTopics);
const retrieved = retrieveTopK(index, userMessage, TOP_K);
const includedById = new Map();
for (const id of mentionedIds) {
const t = allTopics.find(x => x.id === id);
if (t) includedById.set(id, t);
}
for (const t of retrieved) {
if (!includedById.has(t.id)) includedById.set(t.id, t);
}
const included = [...includedById.values()];
const topicLines = included.map(t => {
const desc = (t.description || '').replace(/\s+/g, ' ').trim().slice(0, DESC_SNIPPET_CHARS);
return `- ${t.id} (${t.type || 'concept'}) "${t.label}": ${desc}`;
});
const includedIds = new Set(included.map(t => t.id));
const relLines = [];
for (const r of allRelations) {
const src = typeof r.source === 'object' ? r.source.id : r.source;
const tgt = typeof r.target === 'object' ? r.target.id : r.target;
if (includedIds.has(src) && includedIds.has(tgt)) {
relLines.push(`- ${src} --${r.type}--> ${tgt}`);
}
}
// Pick which topics get their full article body: verbatim mentions first,
// then the highest-ranked retrieved topics, capped at DEEP_CONTENT_LIMIT.
const deepIds = [];
for (const id of mentionedIds) deepIds.push(id);
for (const t of retrieved) {
if (deepIds.length >= DEEP_CONTENT_LIMIT) break;
if (!mentionedIds.has(t.id)) deepIds.push(t.id);
}
const deepBlocks = await Promise.all(
deepIds.slice(0, DEEP_CONTENT_LIMIT).map(async (id) => {
const t = includedById.get(id);
if (!t) return null;
const content = await db.getContent(id).catch(() => null);
if (!content) return null;
let raw;
if (typeof content === 'string') raw = content;
else if (content.article) raw = typeof content.article === 'string' ? content.article : JSON.stringify(content.article);
else raw = JSON.stringify(content);
const snippet = raw.replace(/\s+/g, ' ').trim().slice(0, DEEP_SNIPPET_CHARS);
if (!snippet) return null;
return `### ${t.label}\n${snippet}`;
}),
);
const mentionedDeepContent = deepBlocks.filter(Boolean);
const context = [
`KENNISGRAAF — RELEVANTE TOPICS (top ${included.length} van ${allTopics.length}):`,
topicLines.join('\n'),
``,
`KENNISGRAAF — RELATIES (binnen deze selectie):`,
relLines.length ? relLines.join('\n') : '(geen relaties binnen deze selectie)',
mentionedDeepContent.length
? `\n\nDIEPERE INHOUD (volledige leerinhoud van de meest relevante topics — gebruik álle feiten hieruit die de vraag beantwoorden):\n${mentionedDeepContent.join('\n\n')}`
: '',
``,
`Als de relevante context hierboven te beperkt is, gebruik dan de tool "lookup_topic" om de volledige beschrijving en eventuele leerinhoud van een specifiek topic op te halen.`,
`[kb_hash: ${kbHash}]`,
].join('\n');
return { context, retrievedTopics: included, allTopics };
}
/**
* Validate a delta proposal against the current topic list (already fetched).
* Drops:
* - topics whose id already exists (by id or case-folded label)
* - relations whose source/target isn't in the current graph + this delta
* - self-referencing relations
* Caps to 3 topics + 5 relations.
*
* @param {object} delta - Raw input from the propose_graph_delta tool call
* @param {Array} existingTopics - Topics already fetched from PocketBase
*/
export function validateDelta(delta, existingTopics = []) {
if (!delta || typeof delta !== 'object') return null;
const existingIds = new Set(existingTopics.map(t => t.id));
const existingLabels = new Set(existingTopics.map(t => (t.label || '').toLowerCase()));
const safeTopics = [];
for (const t of Array.isArray(delta.topics) ? delta.topics : []) {
if (!t || typeof t.id !== 'string' || typeof t.label !== 'string') continue;
if (existingIds.has(t.id)) continue;
if (existingLabels.has(t.label.toLowerCase())) continue;
if (!['concept', 'role', 'process'].includes(t.type)) continue;
safeTopics.push({
id: t.id.trim(),
label: t.label.trim(),
type: t.type,
description: (t.description || '').trim(),
});
existingIds.add(t.id);
existingLabels.add(t.label.toLowerCase());
if (safeTopics.length >= 3) break;
}
const knownAfter = new Set([...existingIds, ...safeTopics.map(t => t.id)]);
const safeRelations = [];
for (const r of Array.isArray(delta.relations) ? delta.relations : []) {
if (!r || typeof r.source !== 'string' || typeof r.target !== 'string') continue;
if (r.source === r.target) continue;
if (!knownAfter.has(r.source) || !knownAfter.has(r.target)) continue;
if (!['related_to', 'depends_on', 'part_of', 'executed_by'].includes(r.type)) continue;
safeRelations.push({ source: r.source, target: r.target, type: r.type });
if (safeRelations.length >= 5) break;
}
if (safeTopics.length === 0 && safeRelations.length === 0) return null;
return {
reason: typeof delta.reason === 'string' ? delta.reason : '',
topics: safeTopics,
relations: safeRelations,
};
}
/** Stable key for a delta (used to dedupe within a thread). */
export function deltaKey(delta) {
const t = delta.topics.map(x => x.id).sort().join(',');
const r = delta.relations.map(x => `${x.source}-${x.type}->${x.target}`).sort().join(',');
return `t:${t}|r:${r}`;
}