In this comprehensive guide, we compare Azumo and Deepset across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.
Overview
Welcome to the comparison between Azumo and Deepset!
Here are some unique insights on Azumo:
Azumo isn’t a product; it’s a dev shop that builds custom RAG solutions. They’ll tailor pipelines, models, and UIs to your specs—great for unique needs, but naturally more time-intensive than buying an off-the-shelf tool.
And here's more information on Deepset:
Deepset lets you stitch together RAG pipelines piece by piece: link data sources, choose models, tweak retrieval steps. Developers love the freedom, but casual users may find the learning curve steep.
Enjoy reading and exploring the differences between
Azumo and Deepset.
Detailed Feature Comparison
Features
Azumo
Deepset
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Builds custom ETL pipelines that pull data from your proprietary systems, internal wikis, SharePoint, and cloud storage—so everything ends up in one place.
Works with both unstructured sources—PDFs, HTML, even multimedia—and structured data like databases or spreadsheets, bringing it all together into a single knowledge index.
Learn more
Stores and indexes your content in vector databases such as Pinecone or Weaviate, giving you the flexibility to handle domain-specific data.
Gives developers a flexible framework to wire up connectors and process nearly any file type or data source with libraries like Unstructured.
Lets you push content into vector stores such as OpenSearch, Pinecone, Weaviate, or Snowflake—pick the backend that fits best. Learn more
Setup is hands-on, but the payoff is deep, domain-specific customization of your ingestion pipelines.
Lets you ingest more than 1,400 file formats—PDF, DOCX, TXT, Markdown, HTML, and many more—via simple drag-and-drop or API.
Crawls entire sites through sitemaps and URLs, automatically indexing public help-desk articles, FAQs, and docs.
Turns multimedia into text on the fly: YouTube videos, podcasts, and other media are auto-transcribed with built-in OCR and speech-to-text.
View Transcription Guide
Connects to Google Drive, SharePoint, Notion, Confluence, HubSpot, and more through API connectors or Zapier.
See Zapier Connectors
Supports both manual uploads and auto-sync retraining, so your knowledge base always stays up to date.
Integrations & Channels
Specializes in bespoke integrations: Azumo can craft custom connectors for your enterprise tools—CRM, ERP, or even internal intranets.
Puts AI agents wherever your users are—web, mobile, Slack, Microsoft Teams—through custom interfaces and API wrappers.
Integration services
API-first approach—drop the RAG system into your own app through REST endpoints or the Haystack SDK.
Shareable pipeline prototypes are great for demos, but production channels (Slack bots, web chat, etc.) need a bit of custom code. See prototype feature
Embeds easily—a lightweight script or iframe drops the chat widget into any website or mobile app.
Offers ready-made hooks for Slack, Microsoft Teams, WhatsApp, Telegram, and Facebook Messenger.
Explore API Integrations
Connects with 5,000+ apps via Zapier and webhooks to automate your workflows.
Supports secure deployments with domain allowlisting and a ChatGPT Plugin for private use cases.
Core Chatbot Features
Builds RAG agents that focus on context-rich, accurate answers by pairing advanced relevancy search with thoughtful prompt engineering.
Supports multi-turn conversations with context retention and clear source attribution to bolster trust.
See their approach
Handles complex multi-agent systems and multi-step reasoning whenever the business case calls for it.
Builds RAG agents as modular pipelines—retriever + reader, plus optional rerankers or multi-step logic.
Multi-turn chat? Source attributions? Fine-grained retrieval tweaks? All possible with the right config. Pipeline overview
Advanced users can layer in tool use and external API calls for richer agent behavior.
Powers retrieval-augmented Q&A with GPT-4 and GPT-3.5 Turbo, keeping answers anchored to your own content.
Reduces hallucinations by grounding replies in your data and adding source citations for transparency.
Benchmark Details
Handles multi-turn, context-aware chats with persistent history and solid conversation management.
Speaks 90+ languages, making global rollouts straightforward.
Includes extras like lead capture (email collection) and smooth handoff to a human when needed.
Customization & Branding
Gives you unlimited room to customize—from the agent’s persona and tone to a fully branded UI—through bespoke development.
Works side-by-side with your team to match brand voice, greetings, fonts, colors, and layouts.
Learn about branding
No drag-and-drop theming here—you’ll craft your own front end if you need branded UI.
That also means full freedom to shape the visuals and conversational tone any way you like. Custom components
Fully white-labels the widget—colors, logos, icons, CSS, everything can match your brand.
White-label Options
Provides a no-code dashboard to set welcome messages, bot names, and visual themes.
Lets you shape the AI’s persona and tone using pre-prompts and system instructions.
Uses domain allowlisting to ensure the chatbot appears only on approved sites.
L L M Model Options
Takes a model-agnostic stance, integrating whichever model best fits your project—OpenAI's GPT, Anthropic's Claude, Meta's LLaMA, Cohere, or open-source alternatives.
Model-agnostic: plug in GPT-4, Llama 2, Claude, Cohere, and more—whatever works for you.
Switch models or embeddings through the “Connections” UI with just a few clicks. View supported models
Taps into top models—OpenAI’s GPT-4, GPT-3.5 Turbo, and even Anthropic’s Claude for enterprise needs.
Automatically balances cost and performance by picking the right model for each request.
Model Selection Details
Uses proprietary prompt engineering and retrieval tweaks to return high-quality, citation-backed answers.
Handles all model management behind the scenes—no extra API keys or fine-tuning steps for you.
Developer Experience ( A P I & S D Ks)
Delivers a tailor-made API or microservice that meets your integration needs—no off-the-shelf SDKs, just code built for you.
Collaborates closely on endpoint design, using frameworks like LangChain or Haystack internally, and hands over clear docs and code reviews on delivery.
See development process
Comprehensive REST API plus the open-source Haystack SDK for building, running, and querying pipelines.
Deepset Studio’s visual editor lets you drag-and-drop components, then export YAML for version control. Studio overview
Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat.
APIÂ Documentation
Offers open-source SDKs—like the Python customgpt-client—plus Postman collections to speed integration.
Open-Source SDK
Backs you up with cookbooks, code samples, and step-by-step guides for every skill level.
Integration & Workflow
Fits the RAG system neatly into your existing workflows—custom API endpoints, middleware, and automated ingestion pipelines, all built to spec.
Deploys in the environment you choose (cloud, VPC, on-prem) and hooks into your CI/CD and data-update processes.
Deployment options
Embed deeply into enterprise stacks—custom connectors, bespoke endpoints, the works.
Schedule ETL jobs and route data conditionally right from the pipeline config. Deployment API
Gets you live fast with a low-code dashboard: create a project, add sources, and auto-index content in minutes.
Fits existing systems via API calls, webhooks, and Zapier—handy for automating CRM updates, email triggers, and more.
Auto-sync Feature
Slides into CI/CD pipelines so your knowledge base updates continuously without manual effort.
Performance & Accuracy
Pushes for high accuracy by fine-tuning retrieval components and using advanced reranking to keep only the most relevant context.
Optimizes large, complex queries with efficient vector search and scalable cloud infrastructure, keeping latency low.
Benchmark insights
Tune for max accuracy with multi-step retrieval, hybrid search, and custom rerankers.
Mix and match components to hit your latency targets—even at large scale. Benchmark insights
Delivers sub-second replies with an optimized pipeline—efficient vector search, smart chunking, and caching.
Independent tests rate median answer accuracy at 5/5—outpacing many alternatives.
Benchmark Results
Always cites sources so users can verify facts on the spot.
Maintains speed and accuracy even for massive knowledge bases with tens of millions of words.
Create multiple datastores, add role-based filters, or pipe in external APIs as extra tools. Component templates
Lets you add, remove, or tweak content on the fly—automatic re-indexing keeps everything current.
Shapes agent behavior through system prompts and sample Q&A, ensuring a consistent voice and focus.
Learn How to Update Sources
Supports multiple agents per account, so different teams can have their own bots.
Balances hands-on control with smart defaults—no deep ML expertise required to get tailored behavior.
Pricing & Scalability
Uses a bespoke, project-based pricing model—costs scale with scope, complexity, and timeline, so expect a higher upfront investment than a typical SaaS subscription.
Pricing overview
Architected for enterprise scale: as query volume and data grow, the infrastructure scales right along with you.
Start free in Deepset Studio, then move to usage-based Enterprise plans as you scale.
Deploy in cloud, hybrid, or on-prem setups to handle huge corpora and heavy traffic. Pricing overview
Runs on straightforward subscriptions: Standard (~$99/mo), Premium (~$449/mo), and customizable Enterprise plans.
Gives generous limits—Standard covers up to 60 million words per bot, Premium up to 300 million—all at flat monthly rates.
View Pricing
Handles scaling for you: the managed cloud infra auto-scales with demand, keeping things fast and available.
Security & Privacy
Offers the choice of on-prem or VPC deployments for full data sovereignty.
Implements enterprise-grade encryption, granular access controls, and compliance measures (HIPAA, FINRA, and more) tailored to your industry.
Learn about security
SOC 2 Type II, ISO 27001, GDPR, HIPAA—you’re covered for enterprise compliance.
Choose cloud, VPC, or on-prem to keep data exactly where you need it. Security compliance
Protects data in transit with SSL/TLS and at rest with 256-bit AES encryption.
Holds SOC 2 Type II certification and complies with GDPR, so your data stays isolated and private.
Security Certifications
Offers fine-grained access controls—RBAC, two-factor auth, and SSO integration—so only the right people get in.
Observability & Monitoring
Bakes in comprehensive logging and monitoring—tracking query performance, retrieval success, and response times out of the box.
Can tie into your monitoring stack (Splunk, CloudWatch, etc.) for real-time alerts and KPI-driven analytics.
Monitoring capabilities
We hope you found this comparison of Azumo vs
Deepset helpful.
Azumo delivers exactly what you ask for, which is powerful if you have specific demands. Smaller or faster-moving projects may prefer a ready-made platform over a ground-up build.
If your team enjoys building from components and wants total control, Deepset is a strong choice. Otherwise, a simpler, managed platform might save time.
Stay tuned for more updates!
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