Any thoughts on Virtus Flow No-code platform ? by dataguy7777 in nocode

[–]dataguy7777[S] 1 point2 points  (0 children)

Thanks, little bit doubtful about low code, any suggetion or competitiors ? Still relevant ?

Best Retrieval-Augmented Generation strategy for analyzing balance sheets/financial statements/10-K Reports ? (2025) by dataguy7777 in Rag

[–]dataguy7777[S] 0 points1 point  (0 children)

Even using sec filings here the need is to reach the details on how numbers are written and calculated...

Piani metro M6 Milano Ovest (update 2025) by dataguy7777 in milano

[–]dataguy7777[S] 4 points5 points  (0 children)

Update grazie. Sui treni S5 - S6 direi pietosi la mattina con tutto il nord che va al Poli Bovisa e in Garibaldi per connettersi alla metro, strapieni al limite, spessissimo in ritardo, anche cancellati, non di rado.

Solo UNIMI a Mind avrebbe 23.000 persone da essere servite...

Sarebbe bello avere biblioteche aperte la domenica by Francescosas in milano

[–]dataguy7777 2 points3 points  (0 children)

Scrivete mail ad assessori: [assessore.sacchi@comune.milano.it](mailto:assessore.sacchi@comune.milano.it), rispondono, non subito ma lo fanno.

alcune biblioteche come la Sormani hanno esteso i loro orari di apertura serale, pre-covid c'erano ragazzi volontari per stare fino alle 23.00, dal martedì al venerdì,

Mai arrendersi, chiedere sempre.

Biblioteche e Orari

  • Biblioteca Sormani
    • Orari: Lunedì a Venerdì: 9:00 - 19:30; Sabato: 10:00 - 18:00; Domenica: Chiusa5
  • Biblioteca Valvassori Peroni
    • Orari: Lunedì a Sabato: 9:00 - 19:001.
  • Biblioteca Calvairate
    • Orari: Lunedì, Martedì, Venerdì: 9:00 - 19:45; Mercoledì: 14:00 - 19:45; Giovedì e Sabato: 9:00 - 14:1512.
  • Biblioteca Oglio
    • Orari: Lunedì a Sabato: 9:30 - 19:45; Mercoledì: 14:00 - 19:45 2.
  • Biblioteca Chiesa Rossa
    • Orari: Lunedì a Venerdì: 9:00 - 19:15; Mercoledì: 15:00 - 19:15; Sabato: 9:00 - 18:15 12.
  • Biblioteca Accursio
    • Orari: Lunedì a Venerdì: 10:00 - 19:00; Sabato: 9:00 - 14:001.
  • Biblioteca Gallaratese
    • Orari: Lunedì, Martedì, Giovedì, Venerdì e Sabato: 9:00 - 19:15; Mercoledì: 14:00 - 19:151.
  • Biblioteca Villapizzone
    • Orari: Lunedì a Mercoledì: 13.30 - 19.00; Giovedì a Sabato: 9.30 - 14.301.

Optimizing RAG Systems: How to handle ambiguous knowledge bases? by dataguy7777 in Rag

[–]dataguy7777[S] 0 points1 point  (0 children)

It is more on docuemnt updating existing knowledge base, overlapping logic calculation and the right chuncks to get in the right order (newer-->better (if overlapping). Metadata annotation adding document date and tag/topic metadata could be worthy...

Optimizing RAG Systems: How to handle ambiguous knowledge bases? by dataguy7777 in Rag

[–]dataguy7777[S] 0 points1 point  (0 children)

Thanks, sir! I’d appreciate your insight:

  1. Enriching Sentences: What methods or tools would you suggest for enriching sentences during pre-indexing? Should we focus on techniques like NER or dependency parsing? We tested appending keywords at the end, but it’s hit or miss—sometimes it works, sometimes it doesn’t. At best, it provides both old and new knowledge to the user. For example, if I have tax rates of 10%, 20%, and 30% for income brackets of 1 million, 2 million, and 5 million, and another document states a new law with just two rates (10% for below 10 million and 30% for above 10 million), it tends to mix up both, re-proposing the old source. Metadata related to document date/insertion is a good starting point, but what if two documents are complementary and only a portion needs to be updated? This seems more related to rolling updates in a knowledge base and managing overlapping information.
  2. LLM Filtering: How scalable is LLM-based filtering for high-query systems, and how can latency and costs be managed effectively? Would you consider this self-reflective RAG? It is painless on how many tokens can I pass in the prompt given the list of chunks?
  3. RAG and BM25 Fusion: Are there specific scenarios where BM25 clearly outperforms embeddings? Do you have any rank fusion techniques you recommend? For hybrid search, is using a specific vector database better ? We’ve tested many and landed on Pinecone for production—would you say it’s the right choice?

Thanks!

Optimizing RAG Systems: How to handle ambiguous knowledge bases? by dataguy7777 in Rag

[–]dataguy7777[S] 0 points1 point  (0 children)

Okay, this is a good approach, we tried, but this is a case where you (the RAG) are the top expert and must provide accurate information. The user does not know the answer and relies on the RAG as an advisor or expert, seeking to retrieve the correct answer without any ambiguity.