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🗂️ Vector Databases
Specific
Embeddings, Similarity Search, AI Applications, Pinecone, Weaviate
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13952
posts in
19.6
ms
Rethinking
Personalization
for the Agent Era, Semantic Recall for Vector Search, and More!
📱
Edge AI
recsys.substack.com
·
6d
·
Substack
Show HN: Local RAG Pipeline with
Weaviate
and
Ollama
🔍
RAG
storyblok.com
·
3d
·
Hacker News
brunokeymolen/nn20db-sdk
: million-scale vector search on small devices
💿
IndexedDB
github.com
·
2d
·
Hacker News
Sentence
Window
Retrieval
🔧
DSPy
dev.to
·
1h
·
DEV
How to Build a Self-Learning
RAG
System with Knowledge
Reflection
🔍
RAG
freecodecamp.org
·
5d
Prism-Reranker
: Beyond Relevance Scoring --
Jointly
Producing Contributions and Evidence for Agentic Retrieval
🔍
RAG
arxiv.org
·
2d
I Built a Knowledge Base That Thinks — Inspired by
Karpathy
’s LLM
Wiki
🗃️
Zettelkasten
dev.to
·
17h
·
DEV
Vector Databases for RAG: Pinecone vs.
Weaviate
vs.
Milvus
vs. PGVector 0.8 (PostgreSQL 18)
🧲
Vector Search & Embeddings
dev.to
·
2d
·
DEV
Hybrid search inside
SurrealDB
: one query, vector + keyword +
RRF
🧲
Vector Search & Embeddings
dev.to
·
1d
·
DEV
Hybrid Search for RAG:
BM25
+
Vectors
(When Each Wins)
🧲
Vector Search & Embeddings
pub.towardsai.net
·
5d
Part 4: Improving Retrieval Quality with Token-Aware
Chunking
and
HyDE
💸
Affordable LLMs
github.com
·
4d
·
DEV
Supabase
pgvector
Guide — Semantic Search, RAG, and Recommendations in PostgreSQL
🧲
Vector Search & Embeddings
dev.to
·
1d
·
DEV
Building
PitchRoom
: AI-Powered Script Discovery using
Flask
& MongoDB Vector Search
🎭
Web Automation
github.com
·
3d
·
DEV
Epicure
:
Multidimensional
Flavor Structure in Food Ingredient Embeddings
👃
Flavor Pairing Science
arxiv.org
·
2d
·
Hacker News
War Story: We Replaced
Pinecone
1.5 with
Milvus
2.4 and Reduced Our Vector DB Cost by 49%
🌸
Bloom Filters
dev.to
·
2d
·
DEV
pg-trickle/blog/pgvector-tooling-landscape.md
at main
📊
Data Pipelines (ETL)
github.com
·
3d
·
Hacker News
Introducing
Citai
: the RAG engine I built across 6
articles
💬
Prompt Engineering
dev.to
·
2d
·
DEV
From
Static
Data to
Conversational
AI: Building a RAG-Powered Customer Agent (Part 2)
💬
AI Code Assistants
dev.to
·
2d
·
DEV
nambok/mentedb
: A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks.
🔄
Autonomous Agents
github.com
·
6d
·
Hacker News
How I Built an AI
Document
Ingestion
Pipeline
🔤
Text Processing
dev.to
·
1d
·
DEV
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