RezaArani/aillm
Golang RAG/LLM framework with Memory and Transcriber - All-in-One Platform
This platform helps non-technical professionals build advanced AI chatbots and knowledge retrieval systems. You input various documents like PDFs, Word files, or web content, along with your questions or conversation prompts. It then provides accurate, context-aware responses or even image descriptions, acting as a smart assistant that understands your stored information and past conversations. This is for business analysts, content managers, or customer support leads who need to leverage internal data for intelligent interactions.
Use this if you need to build a smart chatbot or an information retrieval system that can understand documents, remember past conversations, and answer questions based on your specific data, without needing deep AI programming knowledge.
Not ideal if you're looking for a simple, off-the-shelf chatbot solution without any custom data integration or if your use case doesn't require advanced memory and document processing capabilities.
Stars
7
Forks
1
Language
Go
License
Apache-2.0
Category
Last pushed
Oct 27, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/RezaArani/aillm"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
copilot-extensions/rag-extension
An example extension in go using retrevial-augmented generation
wangle201210/go-rag
基于eino+gf+vue实现知识库的rag
LlamaEdge/rag-api-server
A RAG API server written in Rust following OpenAI specs
timescale/pgai
A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
ca-srg/ragent
RAGent - A CLI tool for building RAG systems with hybrid search (BM25 + vector) using Amazon S3...