@ericjenkinson.bsky.social
Finished the workshop Open-Source Data Ingestion using dlt and qdrant (@qdrant.bsky.social). Hiba Jamal, from dlt, hosted the workshop for #llzoomcamp (@datatalks.bsky.social).
Watch the replay: www.youtube.com/watch?v=MNt_...
Watch the replay: www.youtube.com/watch?v=MNt_...
From REST to reasoning: ingest, index, and query with dlt and Cognee - Hiba Jamal
YouTube video by DataTalksClub ⬛
www.youtube.com
July 7, 2025 at 8:16 PM
Finished the workshop Open-Source Data Ingestion using dlt and qdrant (@qdrant.bsky.social). Hiba Jamal, from dlt, hosted the workshop for #llzoomcamp (@datatalks.bsky.social).
Watch the replay: www.youtube.com/watch?v=MNt_...
Watch the replay: www.youtube.com/watch?v=MNt_...
Just finished module two of the #llzoomcamp course from @datatalks.bsky.social, covering vector search using Qdrant from @qdrant.bsky.social
* Getting Started with Vector Search and Qdrant
* Embedding Text Data
* Indexing
* Search
* RAG with Vector Search
* Hybrid Search
github.com/DataTalksClu...
* Getting Started with Vector Search and Qdrant
* Embedding Text Data
* Indexing
* Search
* RAG with Vector Search
* Hybrid Search
github.com/DataTalksClu...
llm-zoomcamp/02-vector-search at main · DataTalksClub/llm-zoomcamp
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. - DataTalksClub/llm-...
github.com
June 27, 2025 at 10:35 PM
Just finished module two of the #llzoomcamp course from @datatalks.bsky.social, covering vector search using Qdrant from @qdrant.bsky.social
* Getting Started with Vector Search and Qdrant
* Embedding Text Data
* Indexing
* Search
* RAG with Vector Search
* Hybrid Search
github.com/DataTalksClu...
* Getting Started with Vector Search and Qdrant
* Embedding Text Data
* Indexing
* Search
* RAG with Vector Search
* Hybrid Search
github.com/DataTalksClu...
Just finished module one of the #llzoomcamp course from @datatalks.bsky.social.
I practiced the following topics:
- Naive indexing of documents and searching.
- Indexing and searching of documents using Elasticsearch.
- Prompt building and filtering.
- Built a basic RAG flow.
I practiced the following topics:
- Naive indexing of documents and searching.
- Indexing and searching of documents using Elasticsearch.
- Prompt building and filtering.
- Built a basic RAG flow.
June 11, 2025 at 6:12 PM
Just finished module one of the #llzoomcamp course from @datatalks.bsky.social.
I practiced the following topics:
- Naive indexing of documents and searching.
- Indexing and searching of documents using Elasticsearch.
- Prompt building and filtering.
- Built a basic RAG flow.
I practiced the following topics:
- Naive indexing of documents and searching.
- Indexing and searching of documents using Elasticsearch.
- Prompt building and filtering.
- Built a basic RAG flow.