{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"llmware","owner":"llmware-ai","isFork":false,"description":"Unified framework for building enterprise RAG pipelines with small, specialized models","topicNames":["parsing","agents","llm","vector-db","llamacpp","retrieval-augmented-generation","generative-ai-tools","small-specialized-models"],"topicsNotShown":0,"allTopics":["parsing","agents","llm","vector-db","llamacpp","retrieval-augmented-generation","generative-ai-tools","small-specialized-models"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":28,"starsCount":3893,"forksCount":789,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,14,30,20,29,35,9,25,41,43,29,28,30,37,41,20,53,72,70,31,82,61,52,45,26,59,72,45,24,48,30,68,92,26,159],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T15:57:28.587Z"}}],"repositoryCount":1,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}