RAG and Memory Systems for LLMs
4 repos
Libraries and frameworks for building retrieval-augmented generation (RAG) systems and memory management for large language models and AI agents. These repositories provide tools for storing, retrieving, and organizing contextual information to enhance LLM capabilities, with implementations spanning Python backends, TypeScript integrations, and specialized approaches like multi-vector retrieval and graph-based memory architectures. Projects range from production memory platforms (mem0, MemoRAG) to embeddings infrastructure (embedchain) to domain-specific variants (PixelRAG for visual content).
Python · 3
agent ·765
memory ·765
llm ·604
memory-agent ·457
long-term ·121
qwen2-5 ·121
mllm ·121
personavlm ·121
personalization ·121
large-language-model ·121
