LlamaIndex is a data framework for your LLM applications
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Updated
Jun 1, 2024 - Python
LlamaIndex is a data framework for your LLM applications
A python package for developing AI applications with local LLMs.
Simple Graph Memory for AI applications
A cloud-native vector database, storage for next generation AI applications
Private & local AI personal knowledge management app.
Your GenAI RAG-based Wikipedia Virtual Agent
Interact seamlessly with your MySQL database using Language Model (LLM) frameworks and Google Palm API. Generate SQL queries effortlessly and gain insightful database analytics through a user-friendly Streamlit interface. Unlock the power of natural language to streamline database exploration.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
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.
Java version of LangChain
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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.
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
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.
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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