Building an AI Research Copilot with Hybrid Search and Knowledge Graphs

Name: Building an AI Research Copilot with Hybrid Search and Knowledge Graphs
Start: 2026-04-27T21:00:00+00:00
End: 2026-04-28T01:00:00+00:00
Location: Boston Marriott Peabody, 8A Centennial Dr, Peabody, MA 01960, USA

About this event

Qdrant + Neo4j for Scientific Discovery

PubMed contains over 39 million research abstracts. Traditional keyword search can't keep up. Researchers miss critical findings buried in massive datasets.

WHAT YOU'LL BUILD

An AI research copilot that combines vector search (Qdrant) and knowledge graphs (Neo4j) to navigate biomedical literature intelligently.

You'll explore a working system that:

Searches biomedical literature using hybrid semantic searchDynamically selects retrieval strategies based on query intentEnriches results using structured biomedical knowledge graphsDemonstrates how agentic retrieval improves research discovery

HOW IT WORKS

You'll learn to combine:

Vector search for semantic understandingKnowledge graphs for structured relationshipsAgent-driven routing for smart query handlingReranking to surface the most relevant results

This is practical systems design for AI-powered discovery tools.

AGENDA

5:00 – 5:40 PM | Arrival, Registration & NetworkingCheck-in, refreshments, and access to the demo environment

5:40 – 6:00 PM | IntroductionOverview of retrieval challenges in scientific research

6:00 – 6:20 PM | Architecture WalkthroughResearch copilot using Qdrant, Neo4j, and agent-driven workflows

6:20 – 7:20 PM | Hands-On LabBuild and explore hybrid search + knowledge graph workflows

7:20 – 7:50 PM | Talk: Navigating Scientific Knowledge ( Stephanie Jarmak from Sourcegraph)Structuring scientific knowledge for agent-driven discovery

7:50 – 8:20 PM | Talk: Evaluating Retrieval Agents (Kranthi Manchikanti from Microsoft)Evaluation, safety, and reliability in agentic retrieval systems

8:20 – 8:50 PM | Wrap-Up & NetworkingKey takeaways, Q&A, and networking

WHAT YOU'LL WALK AWAY WITH

A working AI research copilot you can explore and adaptPractical understanding of hybrid retrieval architecturesClear patterns for building agentic discovery systemsGitHub repository with full codebase

WHO SHOULD ATTEND

Built for intermediate to advanced builders:

AI/ML engineersData engineers working with retrieval systemsResearch engineers in healthcare, biotech, life sciencesTechnical teams building AI-powered discovery tools

Prerequisites: Comfortable with basic Python or API workflows and general AI/ML concepts. Prior experience with Qdrant or Neo4j not required.

Seats are limited

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About Building an AI Research Copilot with Hybrid Search and Knowledge Graphs in Peabody

Building an AI Research Copilot with Hybrid Search and Knowledge Graphs is a free independent taking place on Monday, April 27, 2026 at Boston Marriott Peabody, 8A Centennial Dr, Peabody, MA 01960, USA, Peabody, United States. This independent is organised by Boston MLOps Community. Attendance is free — register to secure your spot. The event runs for approximately 4 hours.