Skip to content
Navigation menu
Search
Powered by Algolia
Search
Log in
Create account
DEV Community
Close
#
embeddings
Follow
Hide
Posts
Left menu
👋
Sign in
for the ability to sort posts by
relevant
,
latest
, or
top
.
Right menu
How I Chose an Embedding Model for Bug Report Deduplication
Alexander Budanov
Alexander Budanov
Alexander Budanov
Follow
Apr 21
How I Chose an Embedding Model for Bug Report Deduplication
#
embeddings
#
vectorsearch
#
devtools
#
selfhosted
Comments
Add Comment
33 min read
My numpy rewrite was 300x faster in isolation. End-to-end it was slower.
Yuvraj Angad Singh
Yuvraj Angad Singh
Yuvraj Angad Singh
Follow
Apr 20
My numpy rewrite was 300x faster in isolation. End-to-end it was slower.
#
embeddings
#
python
#
performance
#
cli
Comments
Add Comment
5 min read
Dreaming Is Useful. Structured Memory Is Better
Solomon Neas
Solomon Neas
Solomon Neas
Follow
Apr 17
Dreaming Is Useful. Structured Memory Is Better
#
openclaw
#
memory
#
agentarchitecture
#
embeddings
Comments
Add Comment
5 min read
Embeddings Just Went Multimodal: What Sentence Transformers 5.4 Means for RAG
Aamer Mihaysi
Aamer Mihaysi
Aamer Mihaysi
Follow
Apr 9
Embeddings Just Went Multimodal: What Sentence Transformers 5.4 Means for RAG
#
ai
#
llm
#
rag
#
embeddings
Comments
Add Comment
2 min read
Making a Local AI Agent Smarter: Semantic Memory with Local Embeddings
Xaden
Xaden
Xaden
Follow
Mar 27
Making a Local AI Agent Smarter: Semantic Memory with Local Embeddings
#
ai
#
embeddings
#
vectorsearch
#
machinelearning
Comments
Add Comment
4 min read
I Built a Fully Local Paper RAG on an RTX 4060 8GB — BGE-M3 + Qwen2.5-32B + ChromaDB
plasmon
plasmon
plasmon
Follow
Mar 22
I Built a Fully Local Paper RAG on an RTX 4060 8GB — BGE-M3 + Qwen2.5-32B + ChromaDB
#
rag
#
llm
#
python
#
embeddings
Comments
Add Comment
10 min read
From Counting Words to Learning Meaning
Akash
Akash
Akash
Follow
Apr 8
From Counting Words to Learning Meaning
#
nlp
#
machinelearning
#
embeddings
#
ai
1
 reaction
Comments
Add Comment
9 min read
Detecting Embedding Drift: The Silent Killer of RAG Accuracy
Zaki Cole
Zaki Cole
Zaki Cole
Follow
Mar 10
Detecting Embedding Drift: The Silent Killer of RAG Accuracy
#
rag
#
embeddings
#
vectorsearch
#
machinelearning
Comments
Add Comment
7 min read
Vector Databases Explained: Pinecone, Weaviate, and Milvus
Matt Frank
Matt Frank
Matt Frank
Follow
Mar 23
Vector Databases Explained: Pinecone, Weaviate, and Milvus
#
vectordatabase
#
embeddings
#
similaritysearch
1
 reaction
Comments
Add Comment
7 min read
RAG Profundo: Estrategias de Chunking, Bases de Datos Vectoriales y Optimización
Moon Robert
Moon Robert
Moon Robert
Follow
Mar 8
RAG Profundo: Estrategias de Chunking, Bases de Datos Vectoriales y Optimización
#
rag
#
chunking
#
vectordatabases
#
embeddings
Comments
Add Comment
7 min read
Construyendo RAG con pgvector: Por Qué Dejé de Pagar Pinecone
Moon Robert
Moon Robert
Moon Robert
Follow
Mar 9
Construyendo RAG con pgvector: Por Qué Dejé de Pagar Pinecone
#
postgres
#
pgvector
#
rag
#
embeddings
Comments
Add Comment
7 min read
Atomic memories vs context dumps: how memory granularity affects recall quality
Ana Julia Bittencourt
Ana Julia Bittencourt
Ana Julia Bittencourt
Follow
Mar 6
Atomic memories vs context dumps: how memory granularity affects recall quality
#
ai
#
agents
#
embeddings
#
architecture
1
 reaction
Comments
Add Comment
3 min read
Multi‑Vector Embeddings in Production: Typed Vectors, Cache Keys, and a Generator That Refuses Poison Records
Daniel Romitelli
Daniel Romitelli
Daniel Romitelli
Follow
Mar 10
Multi‑Vector Embeddings in Production: Typed Vectors, Cache Keys, and a Generator That Refuses Poison Records
#
python
#
embeddings
#
caching
#
search
Comments
Add Comment
9 min read
RAG in the Wild: What I Learned After Two Weeks of Chunking Experiments
Moon Robert
Moon Robert
Moon Robert
Follow
Mar 8
RAG in the Wild: What I Learned After Two Weeks of Chunking Experiments
#
rag
#
vectordatabases
#
llm
#
embeddings
Comments
2
 comments
7 min read
Understanding Embeddings: The Building Block of Modern AI Applications
郑沛沛
郑沛沛
郑沛沛
Follow
Mar 2
Understanding Embeddings: The Building Block of Modern AI Applications
#
ai
#
embeddings
#
vectordb
#
tutorial
Comments
Add Comment
2 min read
👋
Sign in
for the ability to sort posts by
relevant
,
latest
, or
top
.
We're a place where coders share, stay up-to-date and grow their careers.
Log in
Create account