pureai-ecosystem / purecppLinks
This repository contains a Retrieval-Augmented Generation (RAG) framework developed in C++ for high performance and scalability, with CUDA support for computational acceleration.
☆115Updated 5 months ago
Alternatives and similar repositories for purecpp
Users that are interested in purecpp are comparing it to the libraries listed below
Sorting:
- Extract structured data from local or remote LLM models☆54Updated last year
- ☆100Updated 8 months ago
- ☆129Updated 4 months ago
- ☆107Updated 3 months ago
- Enhancing LLMs with LoRA☆206Updated 3 months ago
- Practical and advanced guide to LLMOps. It provides a solid understanding of large language models’ general concepts, deployment techniqu…☆78Updated last year
- Repo to experiment with Graph RAG strategies using Kùzu☆64Updated 4 months ago
- Train an adapter for any embedding model in under a minute☆130Updated 9 months ago
- Code action agent with local execution sandbox and first-class support for programmatic tool calling☆119Updated last week
- This small API downloads and exposes access to NeuML's txtai-wikipedia and full wikipedia datasets, taking in a query and returning full …☆103Updated 5 months ago
- Rank LLMs, RAG systems, and prompts using automated head-to-head evaluation☆108Updated last year
- MidStream is a powerful platform that makes AI conversations smarter and more responsive. Instead of waiting for an AI to finish speaking…☆59Updated last week
- AirLLM 70B inference with single 4GB GPU☆17Updated 7 months ago
- Code for evaluating with Flow-Judge-v0.1 - an open-source, lightweight (3.8B) language model optimized for LLM system evaluations. Crafte…☆84Updated last year
- 🔌 Want one client library for all your embeddings? 💙 Choose Catsu! 🐱☆57Updated 3 weeks ago
- GoalChain for goal-orientated LLM conversation flows☆71Updated last year
- A Python-based parallel file chunking system designed for processing large codebases into LLM-friendly chunks.☆47Updated 5 months ago
- A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your…☆112Updated last year
- Shared Memory Storage for Multi-Agent Systems☆138Updated 7 months ago
- The AI runtime that turns your framework functions into OpenAI compatible endpoints☆88Updated 11 months ago
- Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.☆308Updated this week
- GraphRAG database - hybrid graph / vector db☆134Updated last year
- simplifies the process of creating and managing LLM workflows.☆113Updated last year
- Declarative framework to build LLM-based applications☆130Updated last year
- Web Interface for Vision Language Models Including InternVLM2☆25Updated last year
- Serving LLMs in the HF-Transformers format via a PyFlask API☆72Updated last year
- A set of tools to create synthetically-generated data from documents☆39Updated 5 months ago
- powerful and fast tool calling agents☆80Updated 10 months ago
- ☆64Updated last year
- an auto-sleeping and -waking framework around llama.cpp☆12Updated 11 months ago