Chat with your knowledge: answers grounded in your documents

# Search one knowledge base directly. The response includes each match's
# content, similarity score, and source document filename.
curl -X POST https://api.modulex.dev/knowledge-bases/{knowledge_base_id}/search \
  -H "Authorization: Bearer mx_live_xxxxxxxxxxxxxxxxxxxxxxxx" \
  -H "X-Organization-ID: org_a1b2c3d4e5f6" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "What is our refund window?",
    "top_k": 5,
    "min_score": 0.3
  }'

from modulex import Modulex

client = Modulex(
    api_key="mx_live_xxxxxxxxxxxxxxxxxxxxxxxx",
    organization_id="org_a1b2c3d4e5f6",
)

# Search one knowledge base. Each match carries content, a score, and a source.
results = await client.knowledge_bases.search(
    knowledge_base_id="7c1e2f80-1111-2222-3333-444455556666",
    query="What is our refund window?",
    top_k=5,
    min_score=0.3,
)

for match in results["matches"]:
    print(match["score"], match["document_filename"], match["content"][:200])

import { Modulex } from "modulex-js";

const client = new Modulex({
  apiKey: "mx_live_xxxxxxxxxxxxxxxxxxxxxxxx",
  organizationId: "org_a1b2c3d4e5f6",
});

// Search one knowledge base. Each match carries content, a score, and a source.
const results = await client.knowledgeBases.search({
  knowledgeBaseId: "7c1e2f80-1111-2222-3333-444455556666",
  query: "What is our refund window?",
  topK: 5,
  minScore: 0.3,
});

for (const match of results.matches) {
  console.log(match.score, match.documentFilename, match.content.slice(0, 200));
}