AI
qdrant
| AI | qdrant | |
|---|---|---|
| 4 | 142 | |
| 14 | 18,129 | |
| - | 4.3% | |
| 10.0 | 9.9 | |
| about 7 years ago | 4 days ago | |
| Rust | ||
| GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AI
- What's Postgres Got to Do with AI?
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Do Simpler Machine Learning Models Exist and How Can We Find Them?
> similar to genetic programming
A genetical algorithm was also what I was thinking of. Come up with some kind of symbolic (textual) way to represent a wiring/circuit diagram (graph) and evolve the most efficient "learner" using mutation and cross-breeding (e-sex). The earliest GA I read about used Lisp dicing.
As far as "easiest" AI for humans to work with, "Factor tables" may be a way:
https://github.com/RowColz/AI
AI tuning them becomes more like accounting instead of a lab with Doc Brown.
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A Gentle Introduction to Vector Databases
It's kind of like Factor Tables. I'd like to see research projects experimenting with it, rather than just these "garage projects".
qdrant
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Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
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.
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Boost Your Code's Efficiency: Introducing Semantic Cache with Qdrant
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.
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
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/
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Show HN: A fast HNSW implementation in Rust
Also compare with qdrant's Rust implementation; they tout their performance. https://github.com/qdrant/qdrant/tree/master/lib/segment/src...
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pgvecto.rs alternatives - qdrant and Weaviate
3 projects | 13 Mar 2024
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Open-source Rust-based RAG
There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb
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Qdrant 1.8.0 - Major Performance Enhancements
For more information, see our release notes. Qdrant is an open source project. We welcome your contributions; raise issues, or contribute via pull requests!
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Perform Image-Driven Reverse Image Search on E-Commerce Sites with ImageBind and Qdrant
Initialize the Qdrant Client with in-memory storage. The collection name will be “imagebind_data” and we will be using cosine distance.
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7 Vector Databases Every Developer Should Know!
Qdrant is an open-source vector search engine optimized for performance and flexibility. It supports both exact and approximate nearest neighbor search, providing a balance between accuracy and speed for various AI and ML applications.
- Ask HN: Who is hiring? (February 2024)
What are some alternatives?
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Milvus - A cloud-native vector database, storage for next generation AI applications
pgsql-http - HTTP client for PostgreSQL, retrieve a web page from inside the database.
Weaviate - 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.
SymbolicRegression.jl - Distributed High-Performance Symbolic Regression in Julia
faiss - A library for efficient similarity search and clustering of dense vectors.
symreg - A Symbolic Regression engine
pgvector - Open-source vector similarity search for Postgres
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
vespa - AI + Data, online. https://vespa.ai
hnswlib - Header-only C++/python library for fast approximate nearest neighbors