There are 1 repository under qdrant topic.
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Python client for Qdrant vector search engine
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing
A completely private, locally-operated Ai Assistant/Chatbot/Sub-Agent Framework with realistic Long Term Memory and thought formation using Open Source LLMs. Qdrant is used for the Vector DB.
Rust client for Qdrant vector search engine
Use the universal VDF format for vector datasets to easily export and import data from all vector databases
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!
Framework for benchmarking fully-managed vector databases
Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
a local knowledge base based on chatgpt Embedding and qdrant, supporting data import and Q&A
Ruby wrapper for the Qdrant vector search database API
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.
Async bulk data ingestion and querying in various document, graph and vector databases via their Python clients
Elixir client for Qdrant vector search engine
Introducing everything-ai, your multi-task, AI-powered and local assistant! 🤖
Javascript client library for the Qdrant vector search engine
A universal Qdrant table frontend based on transformers.js
This tool provides a fast and efficient way to convert text into vector embeddings and store them in the Qdrant search engine. Built with Rust, this tool is designed to handle large datasets and deliver lightning-fast search results.
Examples of vector DB indexing and query with various vector databases.
QDrant-NLP
Bootstrap a Qdrant vector database cluster on Fly.io
Streamlit app that allows users to search for similar artworks based on an uploaded image or a text description
Visual similarity search engine demo with use of PyTorch Metric Learning and Qdrant
Birds 400-Species Image Classification using Pytorch Metric Learning (Triplet Margin Loss)
Question and Answer application using AWS Bedrock, AWS ECS, Langchain, Qdrant, and FastAPI
FiftyOne Plugin for searching images by audio clip using ImageBind and Qdrant
Semantically search through OCR text blocks with Qdrant, Sentence Transformers, and FiftyOne!
Helper package to spin-up a Qdrant instance without Docker
A CLI tool written in Go to chat with your pdf data