Want to stand out as an AI Engineer in 2026? 𝗠𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗠𝗲𝗺𝗼𝗿𝘆 𝗧𝗮𝘅𝗼𝗻𝗼𝗺𝘆 𝗳𝗼𝗿 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀. I spent hours mapping the complete memory taxonomy for AI Agents by duration, storage type, function, and scope: 𝗕𝗬 𝗗𝗨𝗥𝗔𝗧𝗜𝗢𝗡 》 𝗦𝗵𝗼𝗿𝘁-𝗧𝗲𝗿𝗺 / 𝗜𝗻-𝗖𝗼𝗻𝘁𝗲𝘅𝘁 Lives in the context window. Dies when the session ends. ↳ Tools: LangGraph AgentState, PydanticAI RunContext, ConversationBufferMemory 》 𝗟𝗼𝗻𝗴-𝗧𝗲𝗿𝗺 / 𝗘𝘅𝘁𝗲𝗿𝗻𝗮𝗹 Persists outside the model. Survives restarts and redeployments. Requires retrieval, adds latency. ↳ Tools: ChromaDB, Qdrant, FAISS, Pinecone, Zep, Mem0 𝗕𝗬 𝗦𝗧𝗢𝗥𝗔𝗚𝗘 𝗧𝗬𝗣𝗘 》 𝗩𝗲𝗰𝘁𝗼𝗿 / 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 Retrieved by similarity, not exact match. Best for: knowledge bases, documents, past experiences. ↳ Tools: ChromaDB, FAISS, Weaviate 》 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 / 𝗘𝗽𝗶𝘀𝗼𝗱𝗶𝗰 SQL/NoSQL. Retrieved by exact query. Best for: patient records, user profiles, transaction logs. ↳ Tools: PostgreSQL, LangChain SQLChat 》 𝗖𝗮𝗰𝗵𝗲 Key-value. Fastest retrieval of all memory types. Best for: repeated API calls, re-embedding same documents. ↳ Tools: Redis, GPTCache, LangChain 》 𝗚𝗿𝗮𝗽𝗵 Entities relationships. Retrieved by traversal. Best for: complex interconnected facts. ↳ Tools: Neo4j, GraphRAG, LlamaIndex KG 𝗕𝗬 𝗙𝗨𝗡𝗖𝗧𝗜𝗢𝗡 》 𝗦𝗲𝗻𝘀𝗼𝗿𝘆 Raw input buffer before processing. Lasts milliseconds. 》 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 Active reasoning scratchpad. Chain-of-thought lives here. ↳ Read here: lnkd.in/e5zJxQ4t 》 𝗘𝗽𝗶𝘀𝗼𝗱𝗶𝗰 Specific past events. Enables personalization across sessions. ↳ Tools: Zep, Mem0 》 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 General world knowledge. Your RAG layer. ↳ Read here: lnkd.in/e5YydeWM 》 𝗣𝗿𝗼𝗰𝗲𝗱𝘂𝗿𝗮𝗹 How to do things. Encoded in system prompts tool definitions. ↳ Tools: DSPy, LangGraph node definitions, CrewAI task schemas 》 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 / 𝗠𝗲𝘁𝗮 Agent memory of its own past decisions. Self-improvement. ↳ Reflexion: lnkd.in/eQ5nabJz 𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡 𝗙𝗔𝗜𝗟𝗨𝗥𝗘𝗦 ✸ Memory Poisoning bad data written once corrupts all future retrievals ✸ Memory Drift behavior slowly degrades as episodic memory accumulates bias ✸ Context Stuffing shoving everything in, destroying reasoning quality ✸ Retrieval Hallucination agent retrieves a chunk, misreads it, confidently fabricates ✸ Memory Conflicts two agents write contradictory facts to shared memory simultaneously ✸ Cache Staleness agent acts confidently on expired information ↳ Fix all 6: lnkd.in/ehzukdwC ≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣ ⫸ꆛ Join 46,000 engineers building production-grade AI agents. Start with the 30-minute Zero → Hero training: maryammiradi.com/free-ai-age…

There are some opensource to chat with SQL or Postgre. Like Vanna, postgresml or SQLchat. You can find them on github but to run may need some coding skills though.

ابزاری مثل SqlChat نوشته شده که ترکیب AI و SQL حساب میشه و با داکر ران میشه. در کل تجربه‌ی فوق‌العاده ایه ولی جای بهتر شدن داره. واسه همین میگم داریم تازه با مدل های اولیه کار می‌کنیم اونوقت OpenAI چند سال از ما جلوتره! github.com/sqlchat/sqlchat

SQL🚀 🚀Desde cero ✅cloud .google .com ✅Holamundo (youtube) ✅Udemy 🚀SQL Server ✅edx .org ✅aulafacil .com ✅aulaclic .es 🚀MySQL ✅ewebik .com ✅ed .team ✅cursin .net 🚀Extra ✅sqlai .ai ✅sqlchat .ai

最近在研究t2sql的解决方案，目前看到的项目有3个： [sqlchat]github.com/sqlchat/sqlchat/b… [blazesql]blazesql.com/ [airOps sql insight]airops.com/apps/15 不知道大家还有没有看到其他类似的解决方案，一起贴出来学习一下~

新增 Bytebase 和 SQLChat @Bytebase ，感谢 @correctroad 贡献

[220]>[sqlchat.ai] ChatGPT powered SQL client for Postgres, MySQL & SQL Server #AI #GenerativeAI #chatgpt #Apple #Azure #cybersecurity #SQL #Chat #client #database #questions #query #natural #language #nlp #sqlchat #data #analytics #cloud #innovation #smart #easy

Thanks for chatting!! #SQLChat

That's a wrap! Thanks to our host @mwdarab and everyone who participated in our #SQLChat. Be on the lookout to see if you won the prize!

A8 - There's a wealth of resources: @Pluralsight, @edXOnline, @linuxacademyCOM, #kubernetes / #docker websites have great learning resources. #SQLChat

Q8: Are there any specific learning resources you used to learn something new that you can share with the #sqlfamily? #SQLChat #BigData #DBA

Q7: Has there been a time that you had to learn something completely new for your job as a DBA? If so, how did you overcome any mental hurdles? #SQLChat #DBA #learning #careeradvice

very smart way of looking at it! never forget what you already know! Like you said, "halfway there"! #SQLChat

A6 The skills you know in terms of design and management of large amounts of data will be the same just on a bigger scale. So, don't be afraid of change because you're already halfway there. #SQLChat

A5. ABL - Always Be Learning #SQLChat #DBA

Q5: What advice would you give a junior DBA who wants to remain relevant 3-5 years from now? #SQLChat #DBA #technology #techtrends

A4 - structured vs unstructured was a huge mind shift for me. #sqlchat

A4 learn about other back-end technologies that can augment your SQL engine. #SQLChat

Q4: Are there any specific technologies/tools that the #DBA should learn? If so, what? #SQLChat #technology #education #SQLeducation

A3 - #sqlchat I think the basics and understanding the terminology. More detail can be learned in the event it is needed. Knowing the lingo is step one.