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Geekline EOOD
- Frankfurt am Main, Deutschland
- https://geekline.org
Starred repositories
Scrapy, a fast high-level web crawling & scraping framework for Python.
Interact with your documents using the power of GPT, 100% privately, no data leaks
Investment Research for Everyone, Everywhere.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Get your documents ready for gen AI
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
State-of-the-Art Text Embeddings
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
thumbor is an open-source photo thumbnail service by globo.com
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
Utilities intended for use with Llama models.
Benchmarks of approximate nearest neighbor libraries in Python
Superduper: End-to-end framework for building custom AI applications and agents.
A fast inference library for running LLMs locally on modern consumer-class GPUs
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
Meet Ava, the WhatsApp Agent
📄 🧠 PageIndex: Document Index System for Reasoning-based RAG
Interesting LLM projects that I created for my YouTube channel using Ollama's open-source models.
Minimalist Error collection Service compatible with Rollbar clients. Sentry or Rollbar alternative.
OpenGPT 3.5/4 is a project aimed at providing practical and user-friendly APIs. The APIs allow for easy integration with various applications, making it simple for developers to incorporate the nat…
Run LLMs locally with as little friction as possible.
Self-hosted fastembed embedding server with CPU and GPU based images.
This is an ultra-simple example of using Langchain, Chroma and OpenAI for chatting with your documents