local-LLM-with-RAG and Local-RAG-Cookbot

local-LLM-with-RAG
54
Established
Local-RAG-Cookbot
34
Emerging
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 2/25
Adoption 3/25
Maturity 16/25
Community 13/25
Stars: 271
Forks: 52
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 4
Forks: 2
Downloads: —
Commits (30d): 0
Language: Python
License: GPL-3.0
No Package No Dependents
Stale 6m No Package No Dependents

About local-LLM-with-RAG

amscotti/local-LLM-with-RAG

Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)

This tool helps you privately ask complex questions about your own documents and get well-researched answers. You provide your documents (PDFs, Word files, etc.) and a question, and it uses a local AI to find and summarize the relevant information. It's ideal for analysts, researchers, or anyone needing to quickly extract information from a personal collection of files without sending them to external AI services.

personal-knowledge-base document-qa private-data-analysis local-ai-assistant information-retrieval

About Local-RAG-Cookbot

Violet-sword/Local-RAG-Cookbot

A Python project that deploys a Local RAG chatbot using Ollama API. Refines answers with internal RAG knowledge base, and uses both Embedding and LLM models.

Related comparisons

local-LLM-with-RAG and RAG-MultiFile-QA local-LLM-with-RAG and rag-architecture local-LLM-with-RAG and Deep-Knowledge-Chatbot local-LLM-with-RAG and Local-RAG-Chatbot-Rerank local-LLM-with-RAG and Deep-Knowledge-Chatbot local-LLM-with-RAG and Local-RAG-Chatbot-Rerank

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