Retrieval that reads the graph, not just the vectors.

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://ai.2brother.in/v1",
    api_key="rag_live_…",
)

r = client.chat.completions.create(
    model="qwen3:8b",
    messages=[{"role": "user",
               "content": "What did we agree with Acme on pricing?"}],
)

print(r.choices[0].message.content)
# citations ride along on the response
print(r.model_extra["citations"])

// npm i openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://ai.2brother.in/v1",
  apiKey:  process.env.RAG_API_KEY,
});

const stream = await client.chat.completions.create({
  messages: [{ role: "user", content: "Summarise yesterday's call." }],
  stream: true,
});

for await (const part of stream) {
  process.stdout.write(part.choices[0]?.delta?.content ?? "");
}

curl https://ai.2brother.in/v1/chat/completions \
  -H "Authorization: Bearer $RAG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "messages": [{"role":"user","content":"Who owns the Acme renewal?"}],
    "rag": { "use_graph": true, "top_k": 8 }
  }'

# retrieval only, no generation
curl https://ai.2brother.in/v1/search \
  -H "Authorization: Bearer $RAG_API_KEY" \
  -d '{"query":"renewal terms","top_k":5}'

# Upload a recording. Deepgram diarizes it; every chunk keeps
# its speaker and time window, so answers cite the moment.
curl https://ai.2brother.in/v1/ingest/file \
  -H "Authorization: Bearer $RAG_API_KEY" \
  -F "file=@standup.m4a" \
  -F 'meta={"collection":"calls","deal":"acme"}'

# or hand us a URL — the bytes never touch our server
curl https://ai.2brother.in/v1/ingest/url \
  -H "Authorization: Bearer $RAG_API_KEY" \
  -d '{"url":"https://cdn.example.com/call.mp3"}'

# poll until status = ready
curl https://ai.2brother.in/v1/documents/$DOC_ID \
  -H "Authorization: Bearer $RAG_API_KEY"