Semantic Index Kit
Vector-based semantic search with hybrid retrieval.
0/6 documents indexed
Configuration
Semantic Indexing
arxiv_2301.07041.pdf47 chunks
anthropic_safety_blog.md23 chunks
nature_ml_survey.pdf89 chunks
techcrunch_ai_policy.html15 chunks
arxiv_2212.08073.pdf62 chunks
wikipedia_llm_evaluation34 chunks
Integration Code
import { createKnowledgeBase } from 'agent-tools-kit/knowledge'
const kb = createKnowledgeBase({ chunking: 'semantic', embedModel: 'text-embedding-3-small' })
await kb.ingest('./documents/')
const results = await kb.search('query text', { topK: 5 })