How AI Can Start Teaching Itself
48:11
How AI Can Start Teaching Itself
21 сағат бұрын
A Search System That Learns As You Use It (Agentic RAG)
45:30
A Search System That Learns As You Use It (Agentic RAG)
14 күн бұрын
A Search System That Learns As You Use It (Agentic RAG) | S2 E18
45:30
A Search System That Learns As You Use It (Agentic RAG) | S2 E18
14 күн бұрын
Rethinking Search Inside Postgres, From Lexemes to BM25
47:16
Rethinking Search Inside Postgres, From Lexemes to BM25
21 күн бұрын
Rethinking Search Inside Postgres, From Lexemes to BM25 | S2 E17
47:16
Rethinking Search Inside Postgres, From Lexemes to BM25 | S2 E17
21 күн бұрын
RAG's Biggest Problems & How to Fix It (ft. Synthetic Data)
51:26
RAG's Biggest Problems & How to Fix It (ft. Synthetic Data)
Ай бұрын
RAG's Biggest Problems & How to Fix It (ft. Synthetic Data) | S2 E16
51:26
RAG's Biggest Problems & How to Fix It (ft. Synthetic Data) | S2 E16
Ай бұрын
From Financial Reports to Software Onboarding: Real-World Applications of ColPali
4:32
From Financial Reports to Software Onboarding: Real-World Applications of ColPali
Ай бұрын
Text vs Vision: How Late Interaction Models Are Changing AI Search (ColBERT vs ColPali)
3:59
Text vs Vision: How Late Interaction Models Are Changing AI Search (ColBERT vs ColPali)
Ай бұрын
Scaling Search: Can ColPali Handle Billions of Documents?
2:34
Scaling Search: Can ColPali Handle Billions of Documents?
Ай бұрын
Dense, Sparse, and Everything In Between: AI Representations Explained
7:37
Dense, Sparse, and Everything In Between: AI Representations Explained
Ай бұрын
From Ambiguous to AI-Ready: Improving Documentation Quality for RAG Systems | S2 E15
46:37
From Ambiguous to AI-Ready: Improving Documentation Quality for RAG Systems | S2 E15
Ай бұрын
From Ambiguous to AI-Ready: Improving Documentation Quality for RAG Systems | S2 E15
46:37
From Ambiguous to AI-Ready: Improving Documentation Quality for RAG Systems | S2 E15
Ай бұрын
BM25 is the workhorse of search; vectors are its visionary cousin | S2 E13
54:05
BM25 is the workhorse of search; vectors are its visionary cousin | S2 E13
Ай бұрын
BM25 is the workhorse of search; vectors are its visionary cousin | S2 E14
54:04
BM25 is the workhorse of search; vectors are its visionary cousin | S2 E14
Ай бұрын
Vector Search at Scale: Why One Size Doesn't Fit All | S2 E13
36:26
Vector Search at Scale: Why One Size Doesn't Fit All | S2 E13
Ай бұрын
Vector Search at Scale: Why One Size Doesn't Fit All | S2 E13
36:26
Vector Search at Scale: Why One Size Doesn't Fit All | S2 E13
Ай бұрын
Search Systems at Scale: Avoiding Local Maxima and Other Engineering Lessons | S2 E12
54:47
Search Systems at Scale: Avoiding Local Maxima and Other Engineering Lessons | S2 E12
Ай бұрын
Search Systems at Scale: Avoiding Local Maxima and Other Engineering Lessons
54:47
Search Systems at Scale: Avoiding Local Maxima and Other Engineering Lessons
Ай бұрын
Training Multi-Modal AI: Inside the Jina CLIP Embedding Model | S2 E11
49:22
Training Multi-Modal AI: Inside the Jina CLIP Embedding Model | S2 E11
2 ай бұрын
Training Multi-Modal AI: Inside the Jina CLIP Embedding Model | S2 E11
49:22
Training Multi-Modal AI: Inside the Jina CLIP Embedding Model | S2 E11
2 ай бұрын
Building the database for AI, Multi-modal AI, Multi-modal Storage | S2 E10
44:54
Building the database for AI, Multi-modal AI, Multi-modal Storage | S2 E10
2 ай бұрын
Building the database for AI, Multi-modal AI, Multi-modal Storage | S2 E10
44:54
Building the database for AI, Multi-modal AI, Multi-modal Storage | S2 E10
2 ай бұрын
Numbers, categories, locations, images, text. How to embed the world? | S2 E9
46:44
Numbers, categories, locations, images, text. How to embed the world? | S2 E9
2 ай бұрын
Building Taxonomies: Data Models to Remove Ambiguity from AI and Search | S2 E8
58:40
Building Taxonomies: Data Models to Remove Ambiguity from AI and Search | S2 E8
2 ай бұрын
Building Taxonomies: Data Models to Remove Ambiguity from AI and Search | S2 E8
58:40
Building Taxonomies: Data Models to Remove Ambiguity from AI and Search | S2 E8
2 ай бұрын
From PDFs to Pixels: How ColPali is Changing Information Retrieval | S2 E7
54:57
From PDFs to Pixels: How ColPali is Changing Information Retrieval | S2 E7
3 ай бұрын
From PDFs to Pixels: How ColPali is Changing Information Retrieval | S2 E7
54:57
From PDFs to Pixels: How ColPali is Changing Information Retrieval | S2 E7
3 ай бұрын
Beyond Embeddings: The Power of Rerankers in Modern Search | S2 E6
42:29
Beyond Embeddings: The Power of Rerankers in Modern Search | S2 E6
3 ай бұрын
Пікірлер
@hadjebi
@hadjebi 14 күн бұрын
Great discussion by two people who actually knew what they were talking about.
@manu-pc9mm
@manu-pc9mm 18 күн бұрын
Nee sooperada kutta. Nee eeth naattukaarana?
@shashankshekharsobeit
@shashankshekharsobeit 27 күн бұрын
Really appreciate your new channel and all its search and relevance centered discussions.
@MarkBroich-o1h
@MarkBroich-o1h 2 ай бұрын
Awesome show
@MarkBroich-o1h
@MarkBroich-o1h 2 ай бұрын
Very cool tnx
@MarkBroich-o1h
@MarkBroich-o1h 2 ай бұрын
Cool stuff tnx
@MarkBroich-o1h
@MarkBroich-o1h 2 ай бұрын
Cool stuff tnx
@MarkBroich-o1h
@MarkBroich-o1h 2 ай бұрын
Cool stuff tnx
@shashankshekharsobeit
@shashankshekharsobeit 3 ай бұрын
It's quite an insightful discussion. Thank you for hosting this.
@Mum40535RBX
@Mum40535RBX 3 ай бұрын
Excellent!
@jimmyjustintime3030
@jimmyjustintime3030 3 ай бұрын
looking forward to this series !!