Showing 21-40 of 57 projects
Deep Researcher is an open-source, Python-based tool for building and managing AI models on private data.
Open-source relational database management system (RDBMS) for building data-driven applications.
Vespa is an AI-powered search and recommendation engine for building data-driven, scalable applications.
Postgres-based database with GPU acceleration for machine learning and AI applications.
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, used in production by Google.
A TypeScript library that enables AI coding agents to use an entire codebase as context for semantic search and code generation.
MineContext is an AI-powered platform that provides proactive, context-aware assistance for developers building with AI tools.
A high-performance, AI-native database for LLM applications with hybrid search capabilities.
CrateDB is a distributed, scalable SQL database for storing and analyzing massive amounts of data in near real-time.
HelixDB is an open-source graph-vector database built from scratch in Rust for AI coding tools and workflows.
Provides Jupyter Notebook examples to help developers get hands-on with Pinecone vector databases.
A conversational knowledge base tool built with TiDB Serverless Vector Storage for AI-powered workflows.
The Best GUI for Milvus, a popular open-source vector database management system.
AI-native database unifying vector, text, and structured data for hybrid search and in-database AI workflows.
This GitHub repository provides a Bootcamp for dealing with unstructured data like reverse image search, audio search, and NLP.
Manage multiple vector databases (Pinecone, Chroma, Qdrant, Weaviate) with a universal tool suite.
Scalable, low-latency vector search in Postgres, revolutionizing vector search and databases.
The Virtual Feature Store that turns existing data infrastructure into a feature store for machine learning.
Cloud-native, MySQL-compatible, AI-ready database with Git for Data, vector search, and full-text search capabilities.
Practical course on using Large Language Models (LLMs) with tools like LangChain, HuggingFace, and PEFT.
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