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Developer-focused platform to build and deploy AI agents across widgets, messaging apps, and SDKs, with security and observability.
Platform to build AI customer-service agents trained on your data that answer 24/7, take real actions and hand off to humans.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Well-known chat-with-PDF tool for summarizing and extracting; strong traffic.
Developer API suite (Reader, Embeddings, Reranker) that turns web content into LLM-ready data for search and RAG.
Free trial available
No public pricing
No public pricing
- ✦Build agents from datasets, skillsets, integrations
- ✦Embeddable widgets and SDKs
- ✦Messaging channels (Slack, Discord, WhatsApp, Telegram)
- ✦OAuth and MCP integrations
- ✦Bring-your-own model support
- ✦Whitelabel and custom branding
- ✦Observability, security, governance
- ✦AI agents trained on website/docs with auto-retrain
- ✦AI Actions (Stripe billing, Calendly booking, API calls)
- ✦Multi-channel embed (site, Slack, Notion and more)
- ✦Human handoff with context
- ✦Analytics on deflection and satisfaction
- ✦Multiple LLMs selectable per task
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- ✦Chat with PDF documents
- ✦Summarize PDF content
- ✦Extract information from PDFs
- ✦Source citation for answers
- ✦OCR support
- ✦AI Agents for document analysis
- ✦Capture & Ask feature
- ✦Chatbot widget (add-on)
- ✦Reader API converts URLs to Markdown
- ✦Multimodal multilingual embedding models
- ✦Reranker for stronger search relevance
- ✦Web search endpoint returning SERP data
- ✦MCP server for use inside LLMs
- ✦Native inference inside Elasticsearch
- →Building custom AI agents for support or leads
- →Embedding AI widgets on websites and apps
- →Deploying agents across messaging platforms
- →Automate customer support
- →Book meetings and complete tasks in chat
- →Capture and qualify leads
- →Keep answers current via auto-retrain
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Analyzing legal documents
- →Summarizing financial reports
- →Extracting key information from books
- →Reviewing scientific papers
- →Understanding user manuals
- →Creating employee training materials
- →Ground LLMs with clean web content
- →Build semantic and RAG search
- →Rerank retrieved results
- →Give AI agents live web access