Needle 2.0 vs Sellio: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Needle 2.0 and Sellio — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Needle 2.0
Needle
Knowledge-threading platform for fast AI-powered information discovery, automation, and RAG APIs across your data sources.
Key features
- Knowledge Threading Search: Extracts key points and threads of knowledge from documents and files to enable fast, context-rich information discovery across disparate data sources.
- RAG API for Agentic Apps: Exposes a Retrieval-Augmented Generation API that developers can use to build agentic AI applications by combining Needle retrieval with any LLM provider for generation.
- Managed RAG Pipelines and MCP Server: Provides production-ready managed RAG pipelines and an MCP server offering long-term memory orchestration for LLMs, reducing operational overhead for retrieval and memory management.
- Python SDK (needle-python): Offers a first-class Python client that reads API keys from environment, simplifies calling the Needle API, and includes tutorials and examples to compose RAG pipelines (e.g., with OpenAI).
- Multi-Source Integration: Connects to and indexes content across all your data sources to provide unified search, automated context extraction, and retrieval for downstream LLM prompts.
- Automated Context Extraction: Instantly extracts salient points and structured context from files to reduce prompt engineering and improve LLM answer quality.
- RAG REST API for retrieval-augmented generation and agentic applications
- Python SDK (needle-python) that reads NEEDLE_API_KEY from environment and simplifies RAG workflows
- MCP server repository for long-term memory / memory control plane
- Managed RAG pipeline examples and production-ready TypeScript components
- Docker-based unified installation and service orchestration (backend, generator hub, infra)
- needlectl CLI to manage services and lifecycle
- Context extraction from files (instantly extracts key points)
- Integration examples with LLM providers (OpenAI example included in docs)
Best for
- Building agentic AI applications that use Needle's RAG API to retrieve relevant context and combine it with LLMs for decision-making and task automation.
- Implementing RAG-based QA over company knowledge bases and document stores by extracting key points and feeding them into an LLM for accurate, context-aware answers.
- Providing long-term memory for conversational agents by using Needle's MCP/managed pipelines to store, retrieve, and update persistent context across sessions.
- Automating information discovery and internal workflows by connecting Needle to multiple data sources and triggering automated actions or synthesized summaries.
- Developer integration and prototyping: Using the needle-python SDK to rapidly prototype retrieval + LLM pipelines (e.g., Needle for retrieval + OpenAI for generation) with simple API-key-based setup.
- Build RAG-based assistants that combine document stores and LLMs
- Create agentic applications that need retrieval + long-term memory
- Implement production-managed RAG pipelines and orchestration
- Embed contextual search and information discovery across multiple data sources
- Prototype or deploy image-retrieval or other research-backed retrieval systems using provided Docker stacks
Sellio
Sellio
Sellio is an AI customer support platform that unifies live chat, WhatsApp, Instagram, Telegram and email in one shared inbox with optional AI agents.
Key features
- Shared Inbox: One inbox for website chat, WhatsApp, Instagram, Telegram and email, keeping every reply, note and handoff in a single thread.
- Live Chat Widget: Embed a brand-matched chat widget on any site with one snippet and capture visitor context up front.
- AI Support Agent: Train an agent on your site, docs and FAQs so it answers first on website chat and hands off to a teammate without losing context.
- Workflow Automations: Build routing rules, chat triggers and task automations to assign and escalate conversations automatically.
- Ticketing: Turn a conversation into a ticket, assign it and keep the full history as work continues.
- Support Analytics: Track volume, response time, CSAT, automation and AI resolution rates, with scheduled reports on higher plans.
- Voice Replies: Let the AI agent answer with a custom voice inside the website widget on the Plus plan.
- Cost Control for AI: Included monthly AI credits with optional top-ups so teams decide when and how much to spend on AI.
Best for
- Ecommerce Support: Run live chat on a Shopify store in the same inbox as WhatsApp, Instagram and email.
- Hospitality Front Desk: Handle guest messages from WhatsApp, Instagram and website chat in one inbox for front desk and ops.
- SaaS Customer Success: Offer website chat first with other channels alongside it for a single team inbox.
- Agency Client Support: Give an agency team a shared inbox to assign, note and resolve client conversations together.
- AI-First First Response: Deploy an AI agent to answer common questions and escalate complex ones to humans.
- Help Desk Ticketing: Raise work from a customer conversation, assign it and keep history for follow-up.