𝚘𝚛𝚌𝚑𝚎𝚜𝚝𝚛𝚊𝚝𝚒𝚗𝚐 𝚗𝚎𝚞𝚛𝚊𝚕 𝚊𝚛𝚌𝚑𝚒𝚝𝚎𝚌𝚝𝚞𝚛𝚎𝚜 & 𝚒𝚗𝚝𝚎𝚕𝚕𝚒𝚐𝚎𝚗𝚝 𝚙𝚕𝚊𝚝𝚏𝚘𝚛𝚖𝚜
𝙸 𝚘𝚙𝚎𝚛𝚊𝚝𝚎 𝚊𝚝 𝚝𝚑𝚎 𝚒𝚗𝚝𝚎𝚛𝚜𝚎𝚌𝚝𝚒𝚘𝚗 𝚘𝚏 𝚖𝚊𝚌𝚑𝚒𝚗𝚎 𝚕𝚎𝚊𝚛𝚗𝚒𝚗𝚐 𝚊𝚗𝚍 𝚜𝚘𝚏𝚝𝚠𝚊𝚛𝚎 𝚎𝚗𝚐𝚒𝚗𝚎𝚎𝚛𝚒𝚗𝚐, 𝚏𝚘𝚌𝚞𝚜𝚒𝚗𝚐 𝚘𝚗 𝚜𝚌𝚊𝚕𝚒𝚗𝚐 𝚊𝚞𝚝𝚘𝚗𝚘𝚖𝚘𝚞𝚜 𝚊𝚐𝚎𝚗𝚝𝚜, 𝚋𝚞𝚒𝚕𝚍𝚒𝚗𝚐 𝚙𝚛𝚘𝚍𝚞𝚌𝚝𝚒𝚘𝚗 𝚁𝙰𝙶 𝚙𝚒𝚙𝚎𝚕𝚒𝚗𝚎𝚜, 𝚊𝚗𝚍 𝚝𝚛𝚊𝚒𝚗𝚒𝚗𝚐 𝚛𝚎𝚒𝚗𝚏𝚘𝚛𝚌𝚎𝚖𝚎𝚗𝚝 𝚕𝚎𝚊𝚛𝚗𝚒𝚗𝚐 𝚖𝚘𝚍𝚎𝚕𝚜. 𝙼𝚢 𝚠𝚘𝚛𝚔 𝚌𝚎𝚗𝚝𝚎𝚛𝚜 𝚘𝚗 𝚌𝚘𝚗𝚟𝚎𝚛𝚝𝚒𝚗𝚐 𝚛𝚊𝚠 𝚗𝚎𝚞𝚛𝚊𝚕 𝚌𝚊𝚙𝚊𝚋𝚒𝚕𝚒𝚝𝚒𝚎𝚜 𝚒𝚗𝚝𝚘 𝚍𝚎𝚝𝚎𝚛𝚖𝚒𝚗𝚒𝚜𝚝𝚒𝚌, 𝚑𝚒𝚐𝚑-𝚝𝚑𝚛𝚘𝚞𝚐𝚑𝚙𝚞𝚝 𝚜𝚢𝚜𝚝𝚎𝚖𝚜.
| 𝚍𝚘𝚖𝚊𝚒𝚗 | 𝚙𝚛𝚒𝚖𝚊𝚛𝚢 𝚏𝚘𝚌𝚞𝚜 | 𝚝𝚎𝚌𝚑𝚗𝚘𝚕𝚘𝚐𝚒𝚎𝚜 |
|---|---|---|
| 𝚗𝚎𝚞𝚛𝚊𝚕 𝚊𝚛𝚌𝚑𝚒𝚝𝚎𝚌𝚝𝚞𝚛𝚎 | 𝚕𝚊𝚛𝚐𝚎 𝚕𝚊𝚗𝚐𝚞𝚊𝚐𝚎 𝚖𝚘𝚍𝚎𝚕𝚜, 𝚛𝚎𝚝𝚛𝚒𝚎𝚟𝚊𝚕 𝚜𝚢𝚜𝚝𝚎𝚖𝚜, 𝚏𝚒𝚗𝚎-𝚝𝚞𝚗𝚒𝚗𝚐 | PyTorch, Hugging Face, FAISS, BM25 |
| 𝚊𝚐𝚎𝚗𝚝𝚒𝚌 𝚜𝚢𝚜𝚝𝚎𝚖𝚜 | 𝚜𝚠𝚊𝚛𝚖 𝚒𝚗𝚝𝚎𝚕𝚕𝚒𝚐𝚎𝚗𝚌𝚎, 𝚖𝚞𝚕𝚝𝚒-𝚊𝚐𝚎𝚗𝚝 𝚠𝚘𝚛𝚔𝚏𝚕𝚘𝚠𝚜, 𝚝𝚘𝚘𝚕 𝚎𝚡𝚎𝚌𝚞𝚝𝚒𝚘𝚗 | LangChain, LlamaIndex, AutoGen |
| 𝚙𝚕𝚊𝚝𝚏𝚘𝚛𝚖 𝚎𝚗𝚐𝚒𝚗𝚎𝚎𝚛𝚒𝚗𝚐 | 𝙰𝙿𝙸 𝚍𝚎𝚟𝚎𝚕𝚘𝚙𝚖𝚎𝚗𝚝, 𝚌𝚘𝚗𝚝𝚊𝚒𝚗𝚎𝚛𝚒𝚣𝚊𝚝𝚒𝚘𝚗, 𝚍𝚊𝚝𝚊𝚋𝚊𝚜𝚎 𝚒𝚗𝚍𝚎𝡡𝚒𝚗𝚐 | Python, TypeScript, FastAPI, PostgreSQL, Redis, Docker |
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𝚘𝚛𝚒𝚘𝚗 · 𝚖𝚞𝚕𝚝𝚒-𝚊𝚐𝚎𝚗𝚝 𝚎𝚚𝚞𝚒𝚝𝚢 𝚒𝚗𝚝𝚎𝚕𝚕𝚒𝚐𝚎𝚗𝚌𝚎 𝚙𝚕𝚊𝚝𝚏𝚘𝚛𝚖 𝚍𝚎𝚜𝚒𝚐𝚗𝚎𝚍 𝚝𝚘 𝚊𝚐𝚐𝚛𝚎𝚐𝚊𝚝𝚎 𝚏𝚒𝚗𝚊𝚗𝚌𝚒𝚊𝚕 𝚖𝚎𝚝𝚛𝚒𝚌𝚜, 𝚖𝚊𝚌𝚛𝚘𝚎𝚌𝚘𝚗𝚘𝚖𝚒𝚌 𝚍𝚊𝚝𝚊, 𝚊𝚗𝚍 𝚛𝚒𝚜𝚔 𝚙𝚊𝚛𝚊𝚖𝚎𝚝𝚎𝚛𝚜 𝚒𝚗𝚝𝚘 𝚞𝚗𝚒𝚏𝚒𝚎𝚍 𝚎𝚡𝚎𝚌𝚞𝚝𝚒𝚟𝚎 𝚜𝚞𝚖𝚖𝚊𝚛𝚒𝚎𝚜. 𝚟𝚒𝚎𝚠 𝚠𝚎𝚋 𝚒𝚗𝚝𝚎𝚛𝚏𝚊𝚌𝚎 · 𝚜𝚘𝚞𝚛𝚌𝚎 𝚌𝚘𝚍𝚎
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𝚎𝚗𝚝𝚎𝚛𝚙𝚛𝚒𝚜𝚎 · 𝚊𝚞𝚝𝚘𝚖𝚊𝚝𝚎𝚍 𝚍𝚘𝚌𝚞𝚖𝚎𝚗𝚝 𝚙𝚛𝚘𝚌𝚎𝚜𝚜𝚒𝚗𝚐 𝚎𝚗𝚐𝚒𝚗𝚎 𝚌𝚊𝚙𝚊𝚋𝚕𝚎 𝚘𝚏 𝚌𝚘𝚗𝚟𝚎𝚛𝚝𝚒𝚗𝚐 𝚞𝚗𝚜𝚝𝚛𝚞𝚌𝚝𝚞𝚛𝚎𝚍 𝚎𝚗𝚝𝚎𝚛𝚙𝚛𝚒𝚜𝚎 𝚍𝚘𝚌𝚞𝚖𝚎𝚗𝚝𝚜 𝚒𝚗𝚝𝚘 𝚒𝚗𝚍𝚎𝡡𝚎𝚍 𝚟𝚎𝚌𝚝𝚘𝚛 𝚜𝚝𝚘𝚛𝚎𝚜 𝚊𝚗𝚍 𝚛𝚎𝚕𝚊𝚝𝚒𝚘𝚗𝚊𝚕 𝚔𝚗𝚘𝚠𝚕𝚎𝚍𝚐𝚎 𝚐𝚛𝚊𝚙𝚑𝚜. 𝚟𝚒𝚎𝚠 𝚠𝚎𝚋 𝚒𝚗𝚝𝚎𝚛𝚏𝚊𝚌𝚎 · 𝚜𝚘𝚞𝚛𝚌𝚎 𝚌𝚘𝚍𝚎
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𝚛𝚎𝚜𝚎𝚊𝚛𝚌𝚑 𝚊𝚜𝚜𝚒𝚜𝚝𝚊𝚗𝚝 · 𝚊𝚌𝚊𝚍𝚎𝚖𝚒𝚌 𝚜𝚎𝚊𝚛𝚌𝚑 𝚒𝚗𝚝𝚎𝚛𝚏𝚊𝚌𝚎 𝚒𝚗𝚌𝚘𝚛𝚙𝚘𝚛𝚊𝚝𝚒𝚗𝚐 𝚍𝚎𝚗𝚜𝚎-𝚜𝚙𝚊𝚛𝚜𝚎 𝚑𝚢𝚋𝚛𝚒𝚍 𝚛𝚎𝚝𝚛𝚒𝚎𝚟𝚊𝚕, 𝚛𝚎𝚛𝚊𝚗𝚔𝚒𝚗𝚐 𝚖𝚎𝚌𝚑𝚊𝚗𝚒𝚜𝚖𝚜, 𝚊𝚗𝚍 𝚌𝚒𝚝𝚊𝚝𝚒𝚘𝚗 𝚐𝚎𝚗𝚎𝚛𝚊𝚝𝚒𝚘𝚗 𝚏𝚘𝚛 𝚜𝚌𝚒𝚎𝚗𝚝𝚒𝚏𝚒𝚌 𝚕𝚒𝚝𝚎𝚛𝚊𝚝𝚞𝚛𝚎. 𝚟𝚒𝚎𝚠 𝚠𝚎𝚋 𝚒𝚗𝚝𝚎𝚛𝚏𝚊𝚌𝚎 · 𝚜𝚘𝚞𝚛𝚌𝚎 𝚌𝚘𝚍𝚎
[ data ingestion ] ──> [ hybrid retrieval ] ──> [ agent execution ] ──> [ evaluation ]