Comparisons

Teams typically look for a managed solution so that they don’t have to invest engineering resources in:

• Building the pipelines and infra to ingest and keep content up to date
• Experimenting with LLM models and RAG techniques to get high-quality results
• Building user-friendly chat UIs that are embeddable anywhere
• Providing insights to product and documentation teams

Algolia is a popular service that is particularly focused on just search. While Algolia offers “Neural” or “AI search”, those terms refer to search algorithms rather than “AI chat” or conversational experiences.

While Inkeep similarly provides a neural search service (with unlimited usage in any plan), we also provide:

• AI chat experiences powered by large language models and your own content
• An analytics platform to analyze user conversations - not just search queries.
• Slack and Discord bots that can be used in your employee or customer-facing channels
• Zero-effort ingestion of any website using our intelligent scraper (no need for managing content over APIs!)

Many teams use Inkeep for just the chat experiences - you don’t have to replace your existing Algolia search experience if you’re happy with it.

Intercom is a general support solution for any type of product - consumer-facing, B2B SaaS products, etc. Their offering includes “Fin”, an AI chatbot focused on support deflection.

In comparison to Intercom, Inkeep shines for:

• UX experiences tailored for developer-facing or technical products
• Being easy to embed in any touch point - Slack, Discord, Search Bar, Chat button, etc.
• Zero-effort ingestion of any content source
• A focus on feedback loops for technical documentation teams
• Affordable pricing

Kapa.ai is a startup focused on AI chat for developer products.

While Inkeep and Kapa.ai share similarities, Inkeep includes:

• AI generated reports that provide actionable summaries of documentation gaps
• Inline citations (as footnotes [1]) in chat answers
• A Search Bar component for rich search experiences
• An Embedded chat component for help centers
• In-component experience for creating support tickets with your support system
• UI components that are more configurable, themable, support dark & light modes, and are available as React components as well as JavaScript snippets

Mendable is a startup focused on AI chat for sales and support.

While Inkeep and Mendable share similarities, Inkeep includes:

• AI generated reports that provide precise summaries of documentation gaps
• Inline citations (as footnotes [1]) in chat answers
• In-component experience for creating support tickets with your support system

OpenAI’s Assistant’s API helps companies build “agentic” workflows, where an assistant can use a variety of tools and OpenAI maintains chat history and state of usage of those tools. One of those tools is “retrieval”, which can perform RAG on pre-uploaded documents. It’s up to the user to programmatically fetch those documents, format them, and upload them and build out a UI and their own logic.

Inkeep’s AI chat service, by comparison, is meant to be an end-to-end offering that requires zero engineering effort while providing high-quality results. Beyond abstracting away retrieval, Inkeep’s service also provides:

• Out-of-box connectors for ingesting and syncing content from Websites, Slack, GitHub, etc.
• UI components that are easily embeddable in any website
• A search API and UI components that can replace traditional search services like Algolia
• Analytics for your team on documentation gaps and trending questions
• High availability and resiliancy against outages with one LLM provider

SiteGPT and Chatbase are customer support AI chatbots tailored for traditional consumer or B2B SaaS solutions.

While Inkeep shares some similarities, customers who’ve compared or migrated from these platforms have generally found Inkeep to have answers with significantly less hallucinations and better RAG performance. Inkeep is also more geared for technical B2B SaaS or developer tool products.

We aim to make our service accessible to companies of all sizes and needs while providing best-in-class responses and quality.

While some companies quote a cheaper cost per question, this is often for use with cheaper models like OpenAI’s GPT 3.5-turbo. For a good comparison to Inkeep’s pricing, take a look at what a company quotes for OpenAI GPT-4 or Claude Opus models.

We generally recommend using the best quality model possible, so we default our pricing and product to use the best state-of-the-art models and retrieval techniques at the time. Most B2B SaaS teams get between 500 to 3000 questions, so we suggest teams focus on evaluating solutions based on the highest quality responses and experiences that match your user’s expectations.

For teams with very high volume, we offer discount pricing and can find a solution that is cost effective while retaining quality. Chat with us to get a quote based on our experience.

We offer free demos and pilot periods for teams to evaluate the quality of our solution for their use case.