Datafari vs GoSearch Analytics

Datafari is an open-source enterprise search solution made by France Labs for finding company data across sources and formats. Its crawlers collect content and metadata, with configurable processing filters and crawl-load management. Listed sources include NetApp, Windows and Samba file shares, Dropbox, Liferay, Alfresco, SharePoint, Documentum, FileNet, CMIS, databases, social networks, and email. A plugin mechanism allows connectors for additional sources.

Search features include multilingual support, spellchecking, suggestions, entity extraction, result clustering, alerts, and autocomplete. Relevance can use document content and metadata, query-specific boosts, entity recognition, and user context such as history, clicks, and department. Datafari supports hybrid and vector search, faceted search, and a REST query interface. Neural Datafari adds vector search and retrieval-augmented answers grounded in documents the user is authorized to access. The free Community plan is aimed at developers and DIY users; its support is DIY. The Initial plan costs $9,900 a year and includes customer support.

GoSearch Analytics is an AI enterprise search knowledge layer for finding information across connected apps and using it in agents and no-code workflows. Semantic search uses context, intent, and relationships to locate resources and answers. Its AI chat can answer questions, summarize insights, analyze data, and generate files using company knowledge. Users can build role-specific agents with custom instructions, knowledge, tools, and skills, then create multi-step workflows through a drag-and-drop builder or natural-language prompts. GoSearch says it connects to more than 100 apps, including Slack, Google Drive, Jira, Notion, and Salesforce. Connectors can sync indexed content, fetch data in real time without copying it, or use MCP. The maker says source permissions are preserved and administrators can control indexing, hide or verify content, and flag PII. It also says queries and data are not stored or used to train AI models. Deployment in a customer's own cloud and use of its own LLM provider and API key are supported. Free is available; Pro costs $20 a month billed user/month.