Mixpeek is an intelligent file store that utilizes advanced extraction, indexing, and searching technology. With a single API, developers can integrate Google-like file search capabilities into their software. In news and media, it accurately categorizes and retrieves news clips, interviews, images, and articles based on specific queries.The tool handles the parsing, chunking, and fine-tuning processes using AI algorithms, reducing the need for manual keyword tagging and improving efficiency. Mixpeek is also scalable, allowing users to handle large amounts of data without impacting performance. It integrates seamlessly with existing databases, cloud apps, and custom sources. The tool is reliable and secure, complying with SOC 2 Type II and GDPR standards. With its speed, affordability, and accuracy, Mixpeek provides a user-friendly solution for intelligent file storage and search.
Vector Store (MVS): Allows users to bring their own vectors and perform dense, sparse, and BM25 searches on object storage.
Managed Indexing: Automatically extracts scenes, faces, OCR, transcripts, and embeddings from connected buckets.
Retrievers: Enables the composition of multi-stage searches in under 100ms, including filtering, joining, and re-ranking.
Feature Extractors: Provides typed pipelines for extracting features such as faces, scenes, transcripts, OCR, and fingerprints.
Integrations: Supports connections with various platforms including S3, GCS, R2, Mux, LangChain, and MCP to enhance functionality.
Face & Person Search: Quickly locate individuals across extensive video libraries in milliseconds.
IP & Copyright Detection: Identify logos, songs, and faces in media, generating comprehensive reports through a single pipeline.
Visual Taste & Recommendations: Provide scene-similarity ranked recommendations using reinforcement learning techniques.
Brand & Ad Safety: Conduct pre-publish content screening to ensure brand safety at high speeds during ad bidding.
Lecture Search & Transcript Q&A: Enable efficient searching of lecture content and facilitate question-and-answer sessions based on transcripts.
Enables efficient search and retrieval of multimedia content (video, audio, images, documents) by automatically extracting relevant features such as scenes, faces, and transcripts.
Supports multi-stage search pipelines that can filter, join, and rerank results in under 100 milliseconds, enhancing user experience and productivity.
Provides integrations with popular storage solutions (S3, GCS, etc.), allowing users to leverage existing data without the need for migration or extensive setup.
Facilitates the generation and storage of embeddings from over 50 models, enabling advanced search capabilities across various data types.
Offers a dynamic taxonomy that evolves with usage, improving the organization and discoverability of content over time.
Vector Store (MVS): Starts at $25/month minimum for up to 1 million vectors; usage-based pricing applies thereafter.
Managed Indexing: Also starts at $25/month minimum, with credits at $0.001 covering extraction, embedding, indexing, and retrieval.
Scale Plans: MVS Scale plan at $250/month for up to 25 million vectors; Managed Scale plan at $250/month for up to 1 million objects.
Storage Costs: $0.023 per GB/month for vector storage; $2 per million queries.
Enterprise Plan: Custom pricing for dedicated infrastructure, self-hosted options, and additional support features.
