Private & local AI personal knowledge management app.
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Updated
Jun 2, 2024 - TypeScript
Private & local AI personal knowledge management app.
🚀 Unlock the power of learning with this app! 💡 Explore video courses, chat with virtual assistants 💬, and access FAQs – all in one seamless edtech experience. 📚 Elevate your knowledge today! 🎓
LlamaIndex is a data framework for your LLM applications
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.
Deterministic LLMs Outputs for AI Applications and AI Agents
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Instant low-code REST DATA API platform for databases. Connect any database, run anywhere.
A cloud-native vector database, storage for next generation AI applications
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Java version of LangChain
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
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.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Cottontail DB is a column store vector database aimed at multimedia retrieval. It allows for classical boolean as well as vector-space retrieval (nearest neighbour search) used in similarity search using a unified data and query model.
Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.
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