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/

Multilingual toolkit for evaluating LLMs using embeddings

A Streamlit app to visualize text similarity using embeddings and cosine distance. Compare and analyze texts interactively!

A curated list of awesome works related to high dimensional structure/vector search & database

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Localume is a powerful desktop application that enables semantic search across your documents using advanced vector embeddings and retrieval technology. The application monitors specified directories in real-time, automatically indexing new and modified files to maintain an up-to-date searchable database.

Epsilla is a high performance Vector Database Management System

Dockerized application that embeds text in a pgvecto.rs database and retrieves data with a similarity search to generate a response with an llm from ollama.

Building an Event Retrieval System from Visual Data participating in Ho Chi Minh's AI Challenge in 2024

A ChatGPT integration library for .NET, supporting both OpenAI and Azure OpenAI Service

High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡

A noob's guide to AI Agents and RAG implementation using mistral-ai

Sentence Transformer model fine tuned on mtsb dataset to generate embeddings of Nepali sentences. Try from here: ⤵️

A Cross-Lingual, Context-Aware and Fully-Neural Sentence Alignment System for Long Texts.

Python library for correcting registry and spelling errors in user input when comparing with a database of texts.

Vector Database implemented in Golang with support for full-text and vector search as well as fault tolerance via Raft.

AI song recommendations based on the feel of a song

Molecular substructure graph attention network for molecular property identification in drug discovery. This is the starting point for my thesis project and is the fork of a repository from the paper https://doi.org/10.1016/j.patcog.2022.108659

Chat with the content of PDFs using an informative LLM powered by RAG.

The Real Time Social Media Content Retrieval System fetches real-time LinkedIn posts based on user queries, offering multiple post retrieval and customization options. Although initially focused on LinkedIn, it can be expanded to incorporate other social media platforms, facilitating cross-channel post similarity searches.