# ChromaDB Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/chromadb
> Markdown URL: https://aitinkerers.org/technologies/chromadb.md
> Technology record last updated: 2026-02-25T15:17:21Z
> Generated: 2026-09-22T10:43:17Z

ChromaDB is the open-source vector database built for LLM applications, providing simple, fast semantic search via embedding management.

ChromaDB is your go-to open-source embedding database for building advanced LLM applications, specifically Retrieval-Augmented Generation (RAG) systems. It simplifies the storage, indexing, and querying of vector embeddings and their metadata, enabling fast Approximate Nearest Neighbor (ANN) similarity search. Developers appreciate its lightweight design: it runs in-memory, persistently using SQLite 3, or in client/server mode, offering robust Python and JavaScript SDKs. With over 5M+ monthly downloads and deep integration with tools like LangChain and LlamaIndex, Chroma is a proven, developer-friendly component for your AI stack.

- Official technology site: https://www.trychroma.com
- Public AI Tinkerers demos and talks: 10
- Result page: 1 of 1

## Recent Public Talks and Demos

### [How I built a Multi-Agent system from scratch](https://da-nang.aitinkerers.org/talks/rsvp_J6dVjfFty_w)

A multi-agent AI system with three context control mechanisms I discovered while building it: context enhancement, context shrinking, and unique tool result handling. The demo shows agents collaborating while these mechanisms silently manage context across handoffs.

- Event context: AI Tinkerers Da Nang: Inaugural Meetup — 2026-08-15 — Da Nang
- Public talk page: https://da-nang.aitinkerers.org/talks/rsvp_J6dVjfFty_w

### [What you can do with a used GPU](https://nurnberg.aitinkerers.org/talks/rsvp_YlYa6jJt-us)

A private Telegram-based personal knowledge assistant that lets me save notes from my phone, store and retrieve them with ChromaDB on a VPS accessible anytime, and ask questions answered by a local llama.cpp model running on my home GPU over a private network i setup. Will show probably everything, or as much as i can in the time i have, but demo's are fun and I want to show how the information propagates through what parts of the code to what parts of my telegram UX and use it on stage with suggestions from the crowd for notes. and maybe also show how we can change the prompt handling this assistant on the fly without touching the code using the agenta prompt management platform. maybe also show how i setup lamacpp for maximum inference time even for low vram machines with big beefy models.

- Event context: AI Tinkerers Nürnberg: June Meetup (Community Hub) — 2026-06-24 — Nürnberg
- Public talk page: https://nurnberg.aitinkerers.org/talks/rsvp_YlYa6jJt-us

### [Turning Claude into a Transactional Lawyer: Building a Legal Contract RAG System as an MCP Server](https://raleigh.aitinkerers.org/talks/rsvp_s4Fh6KIHlHg)

I built a RAG agent for answering questions about contracts, then converted it to an MCP server that gives Claude the ability to search, analyze, and compare a corpus of 500+ legal contracts using retrieval-augmented generation. In the demo, I'll connect it to Claude Desktop and show multi-turn contract Q&A — asking about termination clauses, comparing provisions across agreements, and testing whether the system resists hallucinating clauses that don't exist.

- Event context: AI Tinkerers Raleigh Meetup — May 6, 2026 — 2026-05-06 — Raleigh
- Public talk page: https://raleigh.aitinkerers.org/talks/rsvp_s4Fh6KIHlHg

### [Sentinel - AI Document Intelligence for Regulated Teams](https://dc.aitinkerers.org/talks/rsvp_dme7MO875dE)

Sentinel is an AI document intelligence agent that helps regulated teams review complex documents faster by cross-referencing them against trusted evidence, surfacing risks and obligations, and producing outputs that are fully traceable and defensible.

- Event context: AI Tinkerers x Softengi - DC Metro Meetup - April 9th, 2026 — 2026-04-09 — DC
- Public talk page: https://dc.aitinkerers.org/talks/rsvp_dme7MO875dE

### [Building an AI on-call engineer](https://dhaka.aitinkerers.org/talks/rsvp_uOXIA4S8_m8)

I'll be presenting the WIP of Aster, an AI on-call engineer. I'll cover how the product works today and the technical choices behind its architecture.

- Event context: AI Tinkerers Dhaka 2nd Meetup: Dhaka Builds with AI! — 2026-02-07 — Dhaka
- Public talk page: https://dhaka.aitinkerers.org/talks/rsvp_uOXIA4S8_m8

### [Voice agent for ecommerce](https://singapore.aitinkerers.org/talks/rsvp_6Bgvjngcdek)

I have built a voice enabled sales agent that can be embedded into an ecommerce website. It will learn from the store products and guide users by understanding their problem and recommend appropriate solution.

- Event context: AIT Singapore - AI Agents Showcase - 7th Oct 2025 — 2025-10-07 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_6Bgvjngcdek

### [Graph Memory in Agent Environments — a Live Walkthrough](https://seattle.aitinkerers.org/talks/rsvp_GJN7vv4ZQ1A)

Agents don’t come alive in isolation—they need environments with durable memory, hybrid search, solid orchestration, and clean human-in-the-loop affordances. In this live demo, we’ll run an agent inside Wings Studio, and show exactly how graph memory powers the environment. Zero fluff, just a working system, the internals, and lessons you can reuse.

- Event context: AI Tinkerers Seattle September Meetup — September 30, 2025 — 2025-10-01 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_GJN7vv4ZQ1A

### [News x Dilbert: Using AI to Curate Comics for Today's News](https://hong-kong.aitinkerers.org/talks/rsvp_uVr4OwbRNbI)

Matching today’s news headlines with the most relevant Dilbert comic strip from over 35 years of archives. This is a hobbyist project to showcase how AI technology can be applied.

- Event context: AI Tinkerers Hong Kong with AWS Meetup — September 29, 2025 — 2025-09-29 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_uVr4OwbRNbI

### [ExpertFinder - Harvard E115 (Spring) Final Project](https://bogota.aitinkerers.org/talks/rsvp_jesmlykrPWc)

ExpertFinder is the final project for Harvard’s E115 Spring 2025 course (Advanced Practical Data Science) that helps users identify credible experts through a natural-language search system. It integrates natural language search with embeddings and Retrieval-Augmented Generation (RAG), stores profiles in a vector database (ChromaDB), and tracks data with DVC. The system calculates a credibility score using features like experience, education, and citations. It is deployed on Google Kubernetes Engine with containerization, Kubernetes orchestration, Nginx ingress, Ansible automation, and CI/CD via GitHub Actions.

- Event context: AI Tinkerers Bogotá Septiembre 2025 — 2025-09-25 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_jesmlykrPWc

### [Orchestrating AI Agents for Building Performance: LangGraph, RAG & Real-Time Engineering Calculations](https://montreal.aitinkerers.org/talks/rsvp_Sl7UP4AQzNc)

I plan to show an autonomous multi-agent system that automates building energy performance calculations. You will see: The implementation of a stateful agent network using LangGraph RAG system used for retrieving data from NASA radiation tables, and engineering codes, standards, and design guides Integration of Python REPL tools to perform calculations State management through a supervisor agent that controls the flow of the calculations and communication MongoDB for persistent storage to save every user's building information Fernet encryption to protect the project's sensitive information During the live code walkthrough I will show the agent creation, state management, prompt engineering, and tool integration used to make the LLMs perform reliable engineering calculations. This demo focuses on the core architecture, LangGraph state management, RAG, and engineering calculations with additional features planned for the future.

- Event context: AI Tinkerers Montreal - March 2025 Meetup at Shopify — 2025-03-12 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_Sl7UP4AQzNc

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