The open-source tool for building high-quality datasets and computer vision models
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Updated
Sep 5, 2024 - Python
The open-source tool for building high-quality datasets and computer vision models
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
Neo4j graph construction from unstructured data using LLMs
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.
A curated list of resources for Document Understanding (DU) topic
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Interactively explore unstructured datasets from your dataframe.
No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents
Curate better data for LLMs
Python-based Low-code ETL for data manipulation and transformation. Generates Python code you can deploy anywhere.
NucliaDB, The AI Search database for RAG
Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.
python implementation of jordansissel's grok regular expression library
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
Enforce structured output from LLMs 100% of the time
Home of the AI workforce - Multi-agent system, AI agents & tools
Accurate, private and configurable document retrieval LLM
Dynamic Kernel Matching (DKM) for Classifying Data with Non-conforming Features
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