Qdrant is a leading open-source high-performance Vector Database written in Rust with extended metadata filtering support and advanced features. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications. Powering vector similarity search solutions of any scale due to a flexible architecture and low-level optimization. Qdrant is trusted and high-rated by Machine Learning and Data Science teams of top-tier companies worldwide.
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Qdrant's answer:
Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.
Qdrant's answer:
Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.
Qdrant's answer:
Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.
Awesome ChatGPT Prompts might be a bit more popular than Qdrant. We know about 44 links to it since March 2021 and only 40 links to Qdrant. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Aside from the built-in prompts powered by awesome-chatgpt-prompts (Are you an ETH dev, a financial analyst, or a personal trainer today?), you can also create, share and debug your chat tools with prompt templates. - Source: dev.to / 5 months ago
I've found the following resources helpful: - 15 Rules For Crafting Effective GPT Chat Prompts (https://expandi.io/blog/chat-gpt-rules/) - Awesome ChatGPT Prompts (https://github.com/f/awesome-chatgpt-prompts) For more resources of like nature, you can search for "mega prompt". - Source: Hacker News / 6 months ago
Someone assembled an adhoc page in Github that is amassing quite a large library of prompt ideas [Github]. Source: 6 months ago
I like to use PromptLayer for this. But you could easily set up a simple CRUD web app to track prompts/average completion token # length, different variations. There is also awesome-chatgpt-prompts (https://github.com/f/awesome-chatgpt-prompts) which has some interesting ones. What are you looking for? - Source: Hacker News / 9 months ago
* Built-In Prompts: Channel creativity using integrated prompts sourced from github.com/f/awesome-chatgpt-prompts. Source: 10 months ago
Vector Databases: Qdrant for efficient data storage and retrieval. - Source: dev.to / 3 days ago
AgentCloud uses Qdrant as the vector store to efficiently store and manage large sets of vector embeddings. For a given user query the RAG application fetches relevant documents from vector store by analyzing how similar their vector representation is compared to the query vector. - Source: dev.to / about 1 month ago
Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker. - Source: dev.to / about 1 month ago
I took Qdrant for this project. The reason was that Qdrant stands for high-performance vector search, the best choice against use cases like finding similar function calls based on semantic similarity. Qdrant is not only powerful but also scalable to support a variety of advanced search features that are greatly useful to nuanced caching mechanisms like ours. - Source: dev.to / about 2 months ago
I'm currently looking to implement locally, using QDrant [1] for instance. I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2]. [1]. https://qdrant.tech/. - Source: Hacker News / 2 months ago
ChatGPT - ChatGPT is a powerful, open-source language model.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Prompt Toolkit - A Tool to Search and Submit ChatGPT Commands
Weaviate - Welcome to Weaviate
OpenAI - GPT-3 access without the wait
pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs