LlamaIndex is the leading framework for building LLM-powered agents over your data.
-
Updated
Nov 10, 2025 - Python
LlamaIndex is the leading framework for building LLM-powered agents over your data.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Open-source search and retrieval database for AI applications.
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.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
The Fastest Distributed Database for Transactional, Analytical, and AI Workloads.
LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes implementing RAG, tool calling (including support for MCP), and agents easy. LangChain4j integrates seamlessly with various enterprise Java frameworks.
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
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.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
𝗔𝗜-𝗡𝗮𝘁𝗶𝘃𝗲 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲. Blazing analytics, fast search, geo insights, vector AI. Built for multimodal analytics, Open-source Snowflake alternative. https://databend.com
Memory for AI Agents in 6 lines of code
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
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
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
AI + Data, online. https://vespa.ai
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Add a description, image, and links to the vector-database topic page so that developers can more easily learn about it.
To associate your repository with the vector-database topic, visit your repo's landing page and select "manage topics."