r/rag

  1. 32points

    🚀 Weekly /RAG Launch Showcase (self.Rag) [Showcase] [pinned]

    164 comments

  2. 2points

    Evaluating RAG Systems: Our HYPNEXIS’26 Project (self.Rag) [Showcase]

    0 comments

  3. 20points

    I'm the author of the RAG_Techniques and GenAI_Agents repos. I just finished a 28-chapter guide on when AI agents are worth building, and when they're (self.Rag) [Tools & Resources]

    1 comments

  4. 24points

    the fetch part is solved, the freshness part nobody seems to sell (self.Rag) [Discussion]

    12 comments

  5. 1points

    Government PDFs broke RAG ingestion in 5 quiet ways. Here’s what I found, with LlamaIndex examples. (self.Rag) [Tools & Resources]

    0 comments

  6. 1points

    I built an MCP for total precision on data retrieval at any scale (self.Rag) [Tools & Resources]

    0 comments

  7. 2points

    Fully offline multilang (Slavic languages preferred) Knowledge Graphs Ontologies? (self.Rag) [Discussion]

    0 comments

  8. 1points

    Nemotron 3.5 Rerank 8B vs a MiniLM cross-encoder on our own RAG questions: no material difference on recall, a lead on LongMemEval (self.Rag) [Discussion]

    0 comments

  9. 0points

    OntoGr Agent Memory: open source memory for agents where every fact keeps its quote, source, and time (self.Rag) [Discussion]

    0 comments

  10. 1points

    An effort was made by a total coding noob https://github.com/Nan0pk/Archiv (self.Rag) [Discussion]

    0 comments

  11. 1points

    Follow-up: does a retrieved record stop an LLM from blending fashion subcultures? A second run, a WARNING ablation and a planted-errors test (self.Rag) [Discussion]

    1 comments

  12. 3points

    Which PDFs have broken your RAG ingestion even when the parsed text looked fine? (self.Rag) [Discussion]

    5 comments

  13. 1points

    How to build a production ready RAG chatbot with LangChain in 2026 (self.Rag) [Tutorial]

    0 comments

  14. 2points

    giving data analytics skills to Agents (self.Rag) [Tutorial]

    0 comments

  15. 1points

    One embedding per note, no chunking. Over half our notes are only searchable by their first 6,000 characters (self.Rag) [Discussion]

    2 comments

  16. 7points

    RAG Evaluation Framework (self.Rag) [Tutorial]

    0 comments

  17. 0points

    The AI was working, but its answers got worse (self.Rag) [Discussion]

    5 comments

  18. 2points

    Production-grade frameworks for evaluating LLM outputs WITHOUT ground truth? (self.Rag) [Discussion]

    8 comments

  19. 5points

    Graph RAG + semantic meaning (self.Rag) [Discussion]

    5 comments

  20. 1points

    Is full AI reasoning actually valuable for auditing, or are thinking summaries and execution traces enough? (self.Rag) [Discussion]

    1 comments

  21. 5points

    Looking for ideas for genuinely useful AI engineering projects (self.Rag) [Discussion]

    12 comments

  22. 60points

    How do you build a RAG system that won’t embarrass you in front of the Board? (self.Rag) [Discussion]

    45 comments

  23. 2points

    Your RAG can't answer. It's probably not the model's fault (self.Rag) [Tools & Resources]

    4 comments

  24. 2points

    I built a way to track why an AI agent made a decision, so you can find what breaks when it turns out to be wrong (self.Rag) [Tools & Resources]

    4 comments

  25. 6points

    llama index vs lanchain (self.Rag) [Discussion]

    3 comments