openclaw - 💡(How to fix) Fix LCM semantic search: Gemini Embedding 001 integration [1 participants]

// Import necessary libraries
import { GeminiEmbedding } from '@google/gemini-embedding';

// Create a function to embed a summary using Gemini Embedding
async function embedSummary(summary: string): Promise<number[]> {
  const embedding = new GeminiEmbedding();
  const vector = await embedding.embed(summary);
  return vector;
}

// Hook into compaction.ts to embed summaries after creation
async function compactAndEmbed(summary: string): Promise<void> {
  // Compact the summary
  // ...
  // Embed the summary
  const vector = await embedSummary(summary);
  // Store the vector in the summary_vectors table
  // ...
}

// Develop a hybrid search function that combines vector search and FTS5
async function hybridSearch(query: string): Promise<string[]> {
  // Perform FTS5 search
  const fts5Results = await fts5Search(query);
  // Perform vector search
  const vectorResults = await vectorSearch(query);
  // Combine the results using RRF fusion
  const results = combineResults(fts5Results, vectorResults);
  return results;
}

// Combine the results using RRF fusion
function combineResults(fts5Results: string[], vectorResults: string[]): string[] {
  // Implement RRF fusion logic here
  // ...
  return combinedResults;
}