Showing 1-20 of 44 projects
Redis is a fast, in-memory data structure server used for caching, real-time applications, and more.
Lightning-fast search engine API with AI-powered hybrid search
High-performance vector database for AI apps
Modern in-memory key-value store for caching and data management
Vector database for AI applications
AI-powered resume tailoring with local model support
Fast, typo-tolerant search engine for building delightful search experiences
Weaviate is an open-source vector database that combines vector search with structured filtering and scalability.
A Go-based framework for deep document understanding, semantic retrieval, and context-aware question answering using the RAG paradigm.
All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Refine high-quality datasets and visual AI models with this Python library for active learning and data curation.
A Python library for efficient RAG (Retrieval-Augmented Generation) applications with AI-powered vector database and private storage.
A full-text and vector search engine for developers, with support for typo-tolerance and hybrid search in under 2kb.
A fast, scalable, and distributed database for transactional, analytical, and AI workloads.
Unified cloud-native data warehouse platform for analytics, search and AI, built on top of S3 storage.
Versatile database for AI, supporting storage, querying, versioning, and visualization of any AI data.
Lightning-fast in-process vector DB for RAG & semantic search in C++
Semantic cache for large language models, fully integrated with LangChain and llama_index.
Vespa is an AI-powered search and recommendation engine for building data-driven, scalable applications.
Superduper is an end-to-end framework for building custom AI applications and agents using Python, PyTorch, and Transformers.
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