🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
-
Updated
Dec 26, 2024 - Python
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Represent, send, store and search multimodal data
Python client for Qdrant vector search engine
An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing
On-premises conversational RAG with configurable containers
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.
♾️ toolkit for air-gapped LLMs on consumer-grade hardware
Your fully proficient, AI-powered and local chatbot assistant🤖
FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as VectorDB
Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications
Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
Async bulk data ingestion and querying in various document, graph and vector databases via their Python clients
AI-powered semantic search engine for emojis in 50+ languages, developed in Python
Search your favorite websites and chat with them, on your desktop🌐
3-Pipeline LLMOps Financial advisor. Steaming pipeline deployed on AWS, 24/7 collects, embeds live-data into QdrantDB. Training pipeline finetunes model on serverless GPU and logs best model on WandB Registry.Inference pipeline downloads best model from registry for inference, utilizes Langchain to maintain history and context retrieval.
Simple customizable evaluation for text retrieval performance of Sentence Transformers embedders on PDFs
Add a description, image, and links to the qdrant topic page so that developers can more easily learn about it.
To associate your repository with the qdrant topic, visit your repo's landing page and select "manage topics."