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for Continual LLM Knowledge Optimization - Combining Solr LTR, LightRAG, and Web Crawling for an LLM Knowledge Base
Python 1
Solr with hybrid retrieval (BM25 + vectors) from Chorus + Learning-to-Rank (LTR) second-pass re-rank (via Hello-LTR configs) + (Optional) a crawler (StormCrawler) that feeds Solr
Shell 1
Forked from Josh-XT/SafeExecute
Safe Python Code Execution Environment for Language Models
Python
Forked from DevXT-LLC/ezlocalai
Local-LLM is a llama.cpp server in Docker with OpenAI Style Endpoints.
Jupyter Notebook
Forked from OldAIProjects/oldagixtreact
AGiXT React Front End (Work in Progress)
JavaScript
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