semantic search 8

PostgreSQL platform for hybrid AI agent memory and retrieval Polygres is an all-in-one PostgreSQL platform for AI agents that combines relational data, graph traversal, vector search, and hybrid retrieval through a unified API. It turns existing PostgreSQL databases into working memory for agents, allowing them to retrieve structured rows, connected relationships, semantic matches, full-text results, and filtered context without using a separate vector database, graph database, or synchronization pipeline. Polygres includes pgGraph for foreign-key-based graph traversal and pgContext for fused retrieval across dense HNSW vectors, sparse search, full-text search, filtering, recommendations, discovery, grouped results, and lookups. Users can deploy it as a managed cloud database or self-host its open-source components.
AI-powered email client for smart inbox organization and enhanced productivity. one.email is an AI-powered email client designed to help users manage and organize their inboxes efficiently. It combines human intuition with AI brilliance to transform email chaos into clarity. The platform connects all email accounts, uses AI for smart categorization, and offers powerful search capabilities, saving users hours every week. Features include AI-powered organization, multiple account support, chat-style threads, powerful semantic search, and calendar integration.
AI-powered knowledge management and AI/ML consulting services. Semafind is an AI-enabled knowledge management platform that helps teams and businesses store, share, semantically search, and explore their private information to boost productivity. It also provides research and engineering consulting services in AI, ML, and Data Science, offering tailored algorithms to enhance competitive edge and drive business growth.
AI-powered platform for document analysis, insight extraction, and collaboration. DocumentLLM is an AI-powered document analysis platform that transforms document analysis with AI. It allows users to upload, analyze, and interact with documents using advanced AI technology to extract insights, create visualizations, and collaborate seamlessly.
AI-powered candidate search that sits on top of your ATS. Search your database in plain English instead of Boolean. Candidate Search AI doesn't replace your ATS. It makes the search actually work. Recruiters describe who they're looking for in normal language, and the AI finds matching candidates across the entire database, ranked by relevance. No more Boolean strings, keyword guessing, or missed candidates buried on page 12. Candidate Search AI is an AI search engine that sits on top of your ATS and lets recruiters find candidates using natural language instead of Boolean queries. It works with Bullhorn and connects to your existing database without replacing anything. The problem it solves: ATS search is keyword-based. If a candidate's resume says "financial controller" and you search "senior accountant," you get nothing. Candidate Search AI understands that those roles overlap and finds the right people anyway. It reads the full resume, understands skills in context, and ranks results by actual relevance. A recruiter types something like "My client is a biotech company in London looking for a senior accountant with public company experience" and gets a ranked shortlist in seconds. No Boolean syntax required. Just describe the role the way you'd explain it to a colleague. It connects to your ATS and reads your existing candidate data, including resumes, custom fields, skills, certifications, location, and work history. Your data stays where it is. Nothing to migrate, no new database to learn. This matters for staffing agencies because most firms only search a fraction of their database effectively. Research shows 30-60% of relevant candidates get missed by traditional keyword search. Candidate Search AI finds the candidates that Boolean buries. It also makes junior recruiters search as effectively as seniors, because the AI handles the query logic. Agencies stop depending on one or two "Boolean experts" and get consistent results from every recruiter. What it does: natural language search, semantic matching, AI relevance scoring, AI candidate evaluations, job description matching, find-similar-candidates, synonym understanding, ATS integration, custom field filtering, and multi-language support. Built for mid-to-large staffing and recruiting agencies.
AI-powered knowledge management platform for organizing and accessing corporate knowledge. Hakutaku is an AI-powered knowledge management platform designed to transform disorganized corporate knowledge into a structured, understandable, and useful resource. It connects data from various sources like Slack, Google Drive, and Notion to create a unified knowledge base. Using advanced Retrieval-Augmented Generation (RAG) technology, Hakutaku provides accurate answers to questions, understands context, and improves knowledge retention across an organization.
Custom GPT chatbot builder with no coding required. WizyChat is a platform that allows users to create custom GPT chatbots trained on their own data without coding. It streamlines customer support, onboarding, and more, offering integrations with apps like Facebook Messenger, Slack, and Teams. WizyChat supports various data sources, including websites, HTML, PDF, texts, CSV, databases, Word, and PowerPoint files, in over 95 languages. It uses AI-powered semantic search and GPT-4 to provide instant, personalized answers.
AI platform for document conversion and persistent agent memory Kit for AI is a platform for AI document conversion, persistent memory, and grounded knowledge. It turns files, URLs, scans, and YouTube transcripts into clean Markdown or schema-shaped JSON, then lets agents search, remember, and cite answers through MCP or REST.