Vector embeddings 2

Open-source editor for vector LLM embeddings to improve search and reduce costs. Embedditor is an open-source Editor of vector LLM embeddings, which enables users to create impressive search results, improve performance of vector search, and save up to 30% on embedding and vector storage with the Simplicity of MS Word. It helps you get the most out of your vector search by improving embedding metadata and tokens with a user-friendly UI. Seamlessly apply advanced NLP cleansing techniques like TF-IDF, normalize, and enrich your embedding tokens, improving efficiency and accuracy in your LLM-related applications. Optimize the relevance of the content you get back from a vector database, intelligently splitting or merging the content based on its structure and adding void or hidden tokens, making chunks even more semantically coherent. Get full control over your data by deploying Embedditor locally or in your dedicated enterprise environment. Reduce costs by filtering out irrelevant tokens, saving up to 40% on embedding and vector storage.

Mixpeek: Multimodal data warehouse for developers, processing and extracting features from various media types. Mixpeek is an intelligence layer on top of object stores like S3, using NLP to understand non-text files with a GET /search API call. It's a multimodal data warehouse for developers, processing and extracting features from text, images, video, audio, and PDFs at scale. It offers a unified API for extracting insights across various media types, discovering patterns between them, and querying across all media types with a single interface.