A cloud-native vector database, storage for next generation AI applications
-
Updated
May 17, 2024 - Go
A cloud-native vector database, storage for next generation AI applications
Use the universal VDF format for vector datasets to easily export and import data from all vector databases
Java version of LangChain
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
Radient turns many data types (not just text) into vectors for similarity search, clustering, regression analysis, and more.
David Myriel's Blog
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
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.
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.
LlamaIndex is a data framework for your LLM applications
A curated list of awesome works related to high dimensional structure/vector search & database
Question Answer application using ObjectBox vector database, Gpt4o and langchain
A distributed Key-Value Storage using Raft
Data Infrastructure for Multimodal AI: Data, models, and orchestration in a unified declarative interface.
Private & local AI personal knowledge management app.
This is a thin wrapper around LanceDb (VectorDb) meant to provide a means to create/store/query embeddings in a LanceDb without the need to grok the lower level Arrow/ColumnarDb tech.
A lightweight library that leverages Language Models (LLMs) to enable natural language interactions, allowing you to source and converse with data.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
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."