Rust Vector Engine/Databases, Vector & Storage
Connect Qdrant to IntelDialix voice agents
High-speed filtered vector search providing personalized long-term memory for recurring telephone callers.
In short
You connect Qdrant to IntelDialix in two directions. When a call starts or ends, IntelDialix sends a signed webhook to Qdrant with the transcript and outcome. During a call, an agent can reach Qdrant through a custom tool — an HTTP request you define — to look up or update information. No SDK is needed; it is plain HTTPS and JSON.
- Qdrant
- IntelDialix
- AI voice agent
- Webhooks
- Qdrant gRPC & REST
- HTTPS
- JSON
How it works
How information moves between a live phone call and Qdrant.
- 01
A call reaches your agent
A caller dials a Twilio or SIP number assigned to the agent, or the agent places an outbound call from a campaign.
Twilio / SIP number → IntelDialix agent
- 02
The agent uses Qdrant mid-call
When the conversation needs data, the agent runs a custom tool: an HTTP request to Qdrant with the details it has collected.
Custom tool → Qdrant gRPC & REST
- 03
The call ends with a record
IntelDialix keeps the recording, transcript and post-call analysis for the conversation in your call history.
Recording · transcript · analysis
- 04
Qdrant receives the result
A signed webhook delivers the call event to your Qdrant endpoint, and is retried automatically if the delivery fails.
HTTPS POST · X-Dialix-Signature
At a glance
Key figures
- Voice engines
- ElevenLabs · Vapi · Gemini
- Choose the engine per agent and compare them on real calls.
- Telephony
- Twilio & SIP
- Use numbers you already have, for inbound and outbound calls.
- Call events
- Signed webhooks
- HMAC-SHA256 signature on every delivery, retried on failure.
- Starter plan
- $14 / month
- One agent, one number and 100 calls a month.
Example
// Verify an IntelDialix webhook before trusting it in Qdrant.
// Header: X-Dialix-Signature: t=<unix seconds>,v1=<hex>
// where v1 = HMAC-SHA256(secret, "<t>.<raw request body>")
import crypto from 'node:crypto';
export function verifyDialixWebhook(rawBody, signatureHeader, secret) {
const parts = Object.fromEntries(
signatureHeader.split(',').map((kv) => kv.split('='))
);
const expected = crypto
.createHmac('sha256', secret)
.update(`${parts.t}.${rawBody}`)
.digest('hex');
const valid =
typeof parts.v1 === 'string' &&
parts.v1.length === expected.length &&
crypto.timingSafeEqual(Buffer.from(parts.v1), Buffer.from(expected));
const fresh = Math.abs(Date.now() / 1000 - Number(parts.t)) < 300;
return valid && fresh;
}
// Body: { "event": "call.completed", "payload": { ... }, "timestamp": "..." }Check the signature before acting on an event in Qdrant. The secret is the one you set when you add the webhook in IntelDialix settings.
FAQ
Frequently asked questions
How does IntelDialix connect to Qdrant?
Through webhooks and custom tools. IntelDialix posts call events to a Qdrant endpoint you choose, and agents can call Qdrant during a conversation using an HTTP tool you configure in the agent editor.
Which events can Qdrant receive?
IntelDialix sends events such as call.initiated, call.inbound, call.completed, call.failed, campaign.started, campaign.completed. Each delivery includes a JSON payload and an X-Dialix-Signature header you can verify with your webhook secret.
Do I need a developer to set this up?
You need an HTTPS endpoint in Qdrant that can receive webhooks — many tools provide one — and, for mid-call actions, an endpoint the agent can call. Building the agent itself needs no code.
Keep exploring
Related pages
- templateQdrant Long-Term Caller Memory AgentRemember returning caller preferences, previous purchases, and personal notes across calls.
- integrationRedis Voice AI IntegrationSub-millisecond session caching for active multi-turn conversation memory, prompt variables, and rate limits.
- integrationChroma DB Voice AI IntegrationLightweight vector database embedding company documents and FAQ lists directly in worker processes.
- integrationSupabase Voice AI IntegrationStore caller records, dynamic variables, and conversation state in Postgres with real-time vector embeddings.
- integrationPinecone Voice AI IntegrationVector search that retrieves knowledge-base snippets for the agent while the caller is speaking.
- integrationWeaviate Voice AI IntegrationHybrid BM25 and vector search providing instantaneous factual grounding for phone agent technical questions.
Put an agent on the phone today.
Create a free account to explore the dashboard. Plans start at $14 a month for one agent and 100 calls.