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Supercharge your customer support with Chroma Cloud vector search

Swiftask connects your AI agents to data stored in Chroma Cloud. Deliver precise, contextual, and instant answers to your customers.

Resultat:

Turn static knowledge bases into an intelligent response engine to ease the burden on your support team.

Your support agents are wasting time searching for information

Facing growing ticket volumes, traditional customer support hits a wall. Knowledge bases are often fragmented, hard to query, and agents spend valuable time hunting for answers in scattered documents.

Les principaux impacts négatifs :

  • High response times: Manual searching slows down ticket resolution, directly impacting Customer Satisfaction (CSAT).
  • Inconsistent answers: Without a single source of truth, the quality of information provided to customers varies between agents.
  • Support team burnout: Your support teams are drained by repetitive tasks instead of focusing on complex cases.

With the Swiftask and Chroma Cloud integration, your AI agent queries your vector database in real-time to extract the most relevant answer, ensuring both precision and speed.

AVANT / APRÈS

Ce qui change avec Swiftask

Traditional manual support

A customer asks a technical question. The agent must dig through documentation PDFs, hope to find the right paragraph, and then rephrase the answer. This process is slow and prone to human error.

Augmented support with Swiftask + Chroma

The AI agent receives the question, performs an instant semantic search in Chroma Cloud, retrieves the exact context, and generates a personalized and accurate answer in milliseconds.

Deploying your intelligent support in 4 steps

ÉTAPE 1 : Vectorize your data

Store and index your technical documentation and FAQs in your Chroma Cloud instance.

ÉTAPE 2 : Configure the Swiftask agent

Create a Swiftask agent and connect it to your Chroma Cloud instance through the secure interface.

ÉTAPE 3 : Define response rules

Configure the agent's behavior: tone of voice, language, and relevance thresholds for vector search.

ÉTAPE 4 : Activate intelligent support

Integrate the agent into your ticketing or chat platform to start automating responses.

Support agent capabilities with Chroma Cloud

The agent analyzes the user's query intent and performs a vector similarity search in Chroma to find the most relevant documents.

  • Connecteur cible : L'agent exécute les bonnes actions dans chroma cloud selon le contexte de l'événement.
  • Actions automatisées : Technical passage retrieval, document summarization, multilingual answering, source citation, tone adaptation based on customer profile.
  • Gouvernance native : Precision is guaranteed by the power of Chroma Cloud, allowing for semantic search that goes beyond simple keyword matching.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-chroma-cloud@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Benefits for your customer service

1. Reduced handling time

Resolve simple tickets instantly through automation.

2. Increased technical accuracy

Your answers are based on your official documents, ensuring reliability and accuracy.

3. 24/7 availability

Provide quality support to your customers, regardless of time or time zone.

4. Unlimited scalability

Handle volume spikes without increasing your support team size.

5. Continuous learning

Simply update your documents in Chroma to keep your agent instantly up to date.

Security and privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations chroma cloud.

  • Isolated data: Your Chroma Cloud instance remains under your full control.
  • Secure transmission: Swiftask uses encrypted connections to query your vectors.
  • Privacy-first: No customer data is used to train third-party models.
  • Access governance: Precisely control which agents have access to which vector collections.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measurable impact on your support

MétriqueAvantAprès
Average resolution timeSeveral hoursA few seconds
Customer Satisfaction (CSAT)Average scoreSignificant improvement
Manual ticket volumeHigh60%+ reduction
Answer accuracyVariableConsistent and verified

Passez à l'action avec chroma cloud

Turn static knowledge bases into an intelligent response engine to ease the burden on your support team.

Fusionnez vos sources de données dans Chroma Cloud avec Swiftask

Cas d'usage suivant.