Problemsby GlyphRAG retrieval returns irrelevant or missing context
22 posts from 22 people18d activeSteady, +2 this week
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[BUG] FilePath rejects filenames containing ".."
## Description `FilePath` rejects every path whose string representation contains `..`, including perfectly normal filenames that happen to contain two consecutive dots: `lib/crewai-files/src/crewai_files/core/sources.py:221`: The guard is meant to reject parent-directory...
...production models. I also analyzed ~15k customer questions to find why our assistant struggled with spreadsheets, then shipped a fix that improved previously failed questions from 40% accuracy to 80%. Outside work, I’m building a hobby discovery app. Its videos reached 500k+...
Why do all NN optimizers have weird names? [d]
...would have the same problem if it wasn't so famous. . This has been giving me a lot of headache trying to find relevant stuff....
Got a offer for Backend engineer and technical project manager
...to Ai and other factor, I'm just scared that if I transition into a PM, it would be very difficult to go back to being a backend dev if I don't like working as a Pm. I want to try working as a Pm, but if it doesn't work out, I will just go back to a dev position. . Assuming the...
pgvector always returns top-k rows even when the question is unrelated to the documents
...Keeping the query as it is and discarding results with a high distance in the API code.. How should I choose a reasonable cosine distance threshold for this, and which of the two options is better practice?.
perf: external knowledge base retrieval runs serially — per query and per knowledge base — while internal collection search is concurrent
## Before Submitting - [x] I searched open and closed issues and discussions for an existing request. - [x] I checked whether this already exists on the `dev` branch or latest source. - [x] I understand that maintainers want a well-written issue or discussion before any code...
Are we solving LLM memory by remembering more, when the real problem is knowing what to forget?[D]
...remembering what was previously true?. Curious what people here think. Is this mostly a problem with how memory is stored and updated, or with how models reason over conflicting information?. Also, are there any good benchmarks specifically targeting this? Would be interested in...
TypeError: Too few arguments for numpy.complexfloating
...NumPy (>= 1.22.0) to install 2.2.6 which mess up every other packages' installation. How do I fix this?.
Add RAGAS kind tag icon
### What's the use case? RAGAS is a framework commonly used to evaluate RAG applications. A Dagster pipeline can contain assets dedicated to RAG evaluation, such as generating evaluation results and tracking metrics. Adding a dedicated RAGAS kind tag icon would make these assets...
Production Grade Retrieval Pipeline That Admits "I Don't Know" [P]
If you're moving a RAG prototype to production, this is the checklist I wish I'd had. - Citations on every answer. - Refusing when the context doesn't support one. - Access control that can't be bypassed. - Ingestion that never blocks a user. Enjoy !!....
[FR] Bulk Tagging for Traces in MLflow UI
...Manually opening every individual trace to assign identical tags creates an operational bottleneck when clustering error patterns or labeling test cohorts for automated judge runs. > #### Why is it currently difficult to achieve this use case? The Traces table does not offer...
Integration example proposal: typed bounded retrieval over large MCP tool sets
LlamaIndex already provides MCP ToolSpec/agent tooling, so I am not proposing another agent runtime or a replacement for MCP integration. I maintain SchemaRouter, which retrieves a query-dependent typed capability/field shortlist from large heterogeneous catalogs before...
simpel RAG problem..
...many more cases. now using this que we will get zero retrieval chunks bcz of words.. now how can we solve this problem?.
How Do You Extract Technical Terms Before Retrieval in RAG?
...+ lexical search → reranking → relevant terms → LLM translation . But i have a problem:. How do I identify the technical terms within each query/paragraph so I can retrieve the right glossary entries in the first place? . any help would be appreciated.
Python: text_chunker's was_split flag can never be True, so every separator tier always runs (dead early-exit)
## What happens `text_chunker.py`'s `was_split` / `input_was_split` flag, used to short-circuit the separator-tier loop once a good split has been found, can never actually become `True`. It is initialized to `False` in every function that returns it, and is only ever combined...
Learn RAG with AI
Hi guys 👋, I'm looking to dive into RAG using AI tools like NotebookLM or Gemini. YouTube tutorials feel too drawn out, and ChatGPT/Gemini prompts have been a bit brief. Any advice or suggestions for learning resources would be amazing! 🙏💡 #RAG #AI.
I tried three different retrieval strategies for RAG - chunking, reranking, and graph-based retrieval. Results were mixed.
...between entities across documents. Promising for multi-hop questions, but it struggled with documents that don't have clean entity structure, and setup complexity was much higher than the other two methods for the payoff it gave.. None of these felt like a silver bullet on their...
I’m struggling to understand how this approach is novel. How is this different from nearest-neighbor within traditional vector search, used by RAG systems? What am I missing? 1. Compute input embeddings 2. Concurrently compute distance-to/logits-of runtime-specifi
issue: knowledge-base chunking splits Markdown tables mid-row and drops the header from every chunk after the first
### Before Submitting - [x] I searched open and closed issues and discussions for an existing report. - [ ] I reproduced this bug on the latest release AND on the current `dev` branch. Reproduced on v0.11.4; the splitter code is the same on `dev` (24c01bd) and the patch below is...
Why Naive RAG Fails in Production Healthcare: A Deep Dive into Parent-Child Chunking, Cross-Encoders & Clinical Evaluation
...& Uncalibrated Evaluation The Failure: Relying on manual spot-checks or ROUGE/BLEU fails to separate retrieval precision failures from generative hallucinations.. Production Fix: Deterministic LLM-as-a-Judge scoring pipeline running at temperature=0 across 3 core metrics:...
Why Your Enterprise RAG Pipeline Is Failing Before the First Query Runs
Most teams building Retrieval-Augmented Generation (RAG) systems invest their engineering effort in two places: the LLM and the retrieval layer. They tune prompts, experiment with embedding models, compare vector databases, and benchmark retrieval precision. When the system...
...rate under 1%. Delivered dozens product on the market and fixed delivery processes for struggling companies.
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About this problem
Evidence
22 posts from 22 people in 13 places, about 2 a week over 65 days. Mostly on r/RAG, Hacker News comments, r/MachineLearning. Tools named alongside: YouTube, pgvector, Kubernetes, Docker.
Frustration Frustration 0 of 3· Seen on Reddit, GitHub issues, Hacker News, DEV, Stack Overflow
How it was grouped
Posts that state a pain and match the "rag-retrieval" rule. First post Sep 3, 2026, latest Nov 6, 2026. Corroborated: 3 or more posts from 2 or more people or places. Method
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