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aientity · one source so far

rag

for llm developers, product engineers

Steadyhackernews
Signal score
0
as of 13d ago
Live items
1
Trajectory
Too early
needs a few more snapshots

Why this scored 0

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+11.3 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.0 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty16.7 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite-5.4 → clamped to 0

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Signal history

7-day window (free)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    54

    What's the recommended pattern for implementing row-level security in a LangChain RAG application?

    Row-level security pattern · for devtools founders

    stackoverflowHeatingdevtools36d ago
  2. 2
    49

    Trust Before Fusion: QIMG-7 and Source-Aware Resolution for Polluted Multimodal RAG

    New multimodal reasoning approach improves performance in polluted environments. · for ai researchers, multimodal model developers

    arxivSteadyai59d ago
  3. 3
    48

    AI builder essentials: tokens, context windows and RAG 101

    AI builder essentials · for ai founders, ml engineers

    devtoCoolingai48d ago
  4. 4
    35

    RAG Chunking Strategies That Survive Production: Beyond the 512-Token Default

    Improving token limits · for ai engineers

    devtoEmergingai32d ago
  5. 5
    34

    I Built a RAG App on My Laptop Without Paying OpenAI a Single Rupee Here's How

    free ai app · for ai founders

    devtoSteady 3 · openaiai28d ago
  6. 6
    31

    Dividing your RAG score by retrieval recall overstates your generation quality, and here is by how much

    RAG scores are overstated due to recall bias, prompting more accurate evaluation methods. · for ml researchers, ai engineers

    devtoSteady 2 · ragai14d ago
  7. 7
    31

    RAG isn't an AI problem. It's a data engineering problem wearing an AI hat.

    RAG is data engineering · for ai engineers

    devtoSteady 2 · ragai51d ago
  8. 8
    30

    I Almost Shipped a RAG Assistant That Lied About APIs That Don't Exist

    Highlights hallucination risk when RAG assistants fabricate nonexistent APIs. · for AI product builders

    devtoSteady 2 · ragai17d ago
  9. 9
    18

    Open Knowledge Format vs RAG: Why Your Agent Should Read a Wiki

    AI agents should use Open Knowledge Format for wiki reading rather than plain RAG. · for ai engineers

    devtoSteadyai18d ago
  10. 10
    17

    Designing an End-to-End RAG Architecture from Scratch

    Build end-to-end architecture · for ai engineers

    devtoSteadyai30d ago
  11. 11
    16

    RAG Is Simpler Than You Think

    Retrieval-augmented generation can be built with simple components, lowering the barrier for LLM-powered apps. · for llm developers, product engineers

    hackernewsSteadyai15d ago
  12. 12
    15

    Building a Production RAG Pipeline: Document Processing, Chunking, and Metadata Design

    Improves document processing · for ai engineers

    devtoSteadyai34d ago
  13. 13
    12

    A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility

    Hybrid RAG improved · for ai researchers, science facility managers

    arxivSteady 2 · ragai45d ago
  14. 14
    12

    FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering

    Multi-agent framework for question answering · for nlp devs

    arxivSteady 2 · ragai52d ago
  15. 15
    11

    9 RAG Techniques That Actually Improve Retrieval Quality

    New RAG techniques demonstrably raise retrieval quality for LLM applications. · for AI researchers, LLM engineers

    devtoCoolingai19d ago
  16. 16
    10

    Ask me anything (RAG)

    AI Q&A · for ai founders

    devtoSteady 2 · ragai45d ago
  17. 17
    9

    That Arrow in Every RAG Diagram Cost Us Three Weeks.

    RAG diagram issue · for ai devs

    devtoSteadyai57d ago
  18. 18
    9

    You Probably Don't Need a Vector Database for RAG

    devtoSteady64d ago
  19. 19
    8

    Your RAG copilot can't count — stop letting it try

    RAG copilot can't count · for ai devs

    devtoSteadyai41d ago
  20. 20
    8

    Where Does RAG Actually Cost You Money? I Decided to Stop Guessing.

    RAG costs revealed · for ai founders

    devtoSteadyai49d ago