Homework 1: Introduction

Score: 6 = 4 (questions) + 0 (FAQ) + 2 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://www.elastic.co/guide/en/elasticsearch/reference/8.17/getting-started.html
• https://openrouter.ai/deepseek/deepseek-r1-0528-qwen3-8b:free/api

Homework 2: Vector Search

Score: 11 = 7 (questions) + 0 (FAQ) + 4 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://qdrant.github.io/fastembed/
• https://github.com/qdrant/fastembed
• https://qdrant.github.io/fastembed/examples/Hybrid_Search/#setup
• https://qdrant.github.io/fastembed/Getting%20Started/

Homework 3: Evaluation

Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://qdrant.tech/documentation/concepts/indexing/

dlt Workshop

Score: 6 = 3 (questions) + 0 (FAQ) + 3 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://docs.cognee.ai/
• https://dlthub.com/docs/intro
• https://neo4j.com/

Agents

Score: 9 = 6 (questions) + 0 (FAQ) + 3 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://github.com/alexeygrigorev/minsearch
• https://platform.openai.com/docs/api-reference/introduction
• https://github.com/alexeygrigorev/rag-agents-workshop

Project 1

Project score: 17 Passed

Score: 31 = 17 (project) + 9 (peer review) + 5 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project

Learning in public links: Show

• https://mermaid.js.org/
• https://python.langchain.com/docs/integrations/llms/ollama/
• https://info.arxiv.org/help/api/user-manual.html#Architecture
• https://langfuse.com/docs/observability/sdk/python/overview
• https://python.langchain.com/api_reference/ollama/chat_models/langchain_ollama.chat_models.ChatOllama.html