A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
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Updated
Sep 5, 2024 - Rust
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
LlamaIndex is a data framework for your LLM applications
A cloud-native vector database, storage for next generation AI applications
The Memory layer for your AI apps
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
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.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
🌌 Fast, dependency-free, full-text and vector search engine with typo tolerance, filters, facets, stemming, and more. Works with any JavaScript runtime, browser, server, service!
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Private & local AI personal knowledge management app.
Postgres with GPUs for ML/AI apps.
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.
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Java version of LangChain
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.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Dynamic RAG for enterprise. Ready to run with Docker,⚡in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
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