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@erkobridee
Last active November 21, 2024 07:23
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n8n

Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.

It's been used to automate everything that's possible.

n8n with AI

n8n.io - Screenshot

Courses

References

Self host in the Cloud

Use cases

Ollama

It's the "Docker" of LLMs ( similar idea but to run LLMs instead of containers )

  • Ollama - Get up and running with large language models.

  • [GitHub] ollama/ollama - Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

References

LLMs

  • Hugging Face – The AI community building the future. We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Qwen 2.5 Coder

References

Code Llama

References

AI Tools

Diagrams

Documents

Code

Code Editor

Code Generation

Research

Vector Databases

  • Pinecone - The vector database to build knowledgeable AI

  • Qdrant - Vector Database

    • [GitHub] qdrant/qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI
  • Chroma - is the open-source AI application database. Batteries included

  • [GitHub] pgvector/pgvector - is a PostgreSQL extension for vector similarity search. It can also be used for storing embeddings.

  • Deep Lake - retains all the features you love from data lakes and need from vector databases. As a result, Deep Lake is explicitly built to store any data (pdfs, vectors, audio, videos, etc.) for AI, works where you do, and allows you not only connect your data to Large Language Models, but also train and fine-tune them using our best-in-class dataloader for AI frameworks

    • [GitHub] activeloopai/deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow.
  • LanceDB - is an open-source vector database for AI that's designed to store, manage, query and retrieve embeddings on large-scale multi-modal data. The core of LanceDB is written in Rust 🦀 and is built on top of Lance, an open-source columnar data format designed for performant ML workloads and fast random access.

    • [GitHub] lancedb/lancedb - Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

Glossary

AI

Databases

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