nowfound

AI · January 29, 2024

A protocol for sharing knowledge via semantic lookup with use in LLMs

A great way to enhance chatbots is to allow them to look up information for context, typically using a vectordb. If you have writings you would like to share with others, you can offer a server that allows others to do semantic lookup, and that way anyone can have a chatbot which can pull from your writing. The goal of this project is to have a protocol that makes that easy. Strictly speaking, the protocol is for semantic retrieval and doesn't require using LLMs although LLMs are the motivating application. For far more details and how to get a demo up and running, see the readme.

A protocol for sharing knowledge via semantic lookup with use in LLMs launched on January 29, 2024 with 10 votes, #1,326 of 4,438 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.

In plain words

This project provides a protocol for semantic lookup that enables people to share their written content with chatbots and other applications. Users can run a server offering semantic retrieval from their writings, allowing others to build chatbots that access that knowledge base. While designed to enhance large language models with contextual information typically stored in vector databases, the protocol works for semantic retrieval generally. It aims to standardize how knowledge sharing works across different systems and applications.

written from the facts on this page · September 2026

From the sources

A protocol for sharing knowledge via semantic lookup with use in LLMs - BerenOfEdain/SemanticLookupProtocol

Does a similar job

all alternatives →
  • Turn any website into a knowledge base for LLMs2024 · embedding.io · ▲305

    I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...

  • Chord - AI Group Chats2025 · chord.chat · ▲164

    Hey everyone, I've been hacking on this idea with a friend as we've been using chatgpt and other AI tools in our day to day work and find ourselves copy/pasting to each other frequently. We often share chatgpt links with each other, but it's been frustrating that they are read-only and we can't pickup the conversation or both talk to an LLM with shared context. We built a shared chatroom to explore what it'd be like to talk with multiple LLMs and humans in the same chat, and so far it feels pretty cool, but we're curious if anyone else would find it useful as well. Right now you can: -…

  • IB
    In-Browser Graph RAG with Kuzu-WASM and WebLLM2025 · blog.kuzudb.com · ▲158

    We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…

  • LLM Explorer2023 · ▲152

    Find your best LLM for a local inference

  • Graphiti – LLM-Powered Temporal Knowledge Graphs2024 · github.com · ▲142

    Hey HN! We're Paul, Preston, and Daniel from Zep. We've just open-sourced Graphiti, a Python library for building temporal Knowledge Graphs using LLMs. Graphiti helps you create and query graphs that evolve over time. Knowledge Graphs have been explored extensively for information retrieval. What makes Graphiti unique is its ability to build a knowledge graph while handling changing relationships and maintaining historical context. At Zep, we build a memory layer for LLM applications. Developers use Zep to recall relevant user information from past conversations without including the entire…

  • A Karpathy-style LLM wiki your agents maintain (Markdown and Git)Apr 2026 · github.com · ▲260

    I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet. It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you. The shape is the one Karpathy has been circling for a while: an LLM-native knowledge substrate that agents both read from and write into, so context compounds across sessions rather than getting re-pasted every morning. Most implementations of that idea land on Postgres, pgvector, Neo4j, Kafka, and a dashboard. I…

More ai this month

the category →
  • Video model that turns script into viral social media videos

    AI · 17d ago · spira.ai

  • The browser where Claude Code and Codex work beside you

    AI · 17d ago · rill.love

  • Kolibri is Aleph Alpha

    AI · 19d ago · tej.as

  • Paintings by AI models: programs run through a simulation of oil paint.

    AI · 20d ago · stillwet.art

  • A real-time world model you can explore and change

    AI · 29d ago · world.pixverse.video

  • Hemory▲381

    Keep listening. Searchable memory for your AI agents.

    AI · 29d ago · hemory.com

Source: Show HN post ↗

Launched alongside, January 2024

the whole month →
  • Amie▲1,334

    Turn meeting notes into automated workflows. Handle meetings, summaries, todos and emails (soon) with your AI personal assistant.

    Work · 2024 · amie.so

  • Findr▲1,296

    Search all your apps, at once

    AI · 2024 · usefindr.com

  • Beautifully designed for your work and life

    Work · 2024 · notion.so

  • Connect meetings, track to-do, get aligned

    AI · 2024 · huudle.io

  • IM

    Sit in Shade - Discover the optimal seat to stay in the shade during your journey. Sit In Shade provides real-time sun exposure data and route visualization.

    Life & fun · 2024 · sitinshade.com

  • Letterly▲937

    Turn your speech into well-written text

    AI · 2024 · letterly.app