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Vector Databases
🗄️ Vector Databases
Specific
vector store, embeddings database, Pinecone, Weaviate, Chroma
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119
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ms
Show
HN
: Incremental RAG ingestion, only changed chunks get
re-embedded
🔍
RAG
Content type:
Code
github.com
·
6d
6 days ago
·
Hacker News
Actions for Show HN: Incremental RAG ingestion, only changed chunks get re-embedded
Less-relevant results
Vibe Coding with Google Cloud’s Multi Model Spanner: Building an AI Travel Planner
🔎
Information Retrieval
Content type:
Blog
medium.com
·
1d
1 day ago
·
DEV
Actions for Vibe Coding with Google Cloud’s Multi Model Spanner: Building an AI Travel Planner
Quantum computing, agentic AI, and the next infrastructure layer in financial services
🔎
Information Retrieval
Content type:
Blog
elastic.co
·
3d
3 days ago
Actions for Quantum computing, agentic AI, and the next infrastructure layer in financial services
Agent Memory
Database
: Build It on TiDB with SQL and Python
🔎
Information Retrieval
Content type:
Blog
pingcap.com
·
4d
4 days ago
Actions for Agent Memory Database: Build It on TiDB with SQL and Python
Researchers trained an open source AI
search
agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information
✍️
Prompt Engineering
venturebeat.com
·
5d
5 days ago
·
Hacker News
Actions for Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information
Cloudian closes gap between enterprise AI ambitions and messy production deployments
🔍
RAG
Content type:
News
blocksandfiles.com
·
5d
5 days ago
Actions for Cloudian closes gap between enterprise AI ambitions and messy production deployments
Conway’s Law in Reverse: Why AI Agents Need One
Database
, Not Ten
🤖
AI Agents
Content type:
Blog
pingcap.com
·
2d
2 days ago
Actions for Conway’s Law in Reverse: Why AI Agents Need One Database, Not Ten
TimeLens: On-Device Artifact Recognition with Retrieval-Augmented Question Answering for the Grand Egyptian Museum
🔎
Information Retrieval
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for TimeLens: On-Device Artifact Recognition with Retrieval-Augmented Question Answering for the Grand Egyptian Museum
You Probably Don’t Need a
Vector
Database
- If Your Data Already Lives in BigQuery
🔍
RAG
Content type:
Blog
medium.com
·
3d
3 days ago
Actions for You Probably Don’t Need a Vector Database - If Your Data Already Lives in BigQuery
New comment by HorizonFlowLive in "Ask
HN
: Who wants to be hired? (June 2026)"
🤖
AI Agents
Content type:
Discussion
news.ycombinator.com
·
5d
5 days ago
·
Hacker News
Actions for New comment by HorizonFlowLive in "Ask HN: Who wants to be hired? (June 2026)"
10 MCP servers to connect LLMs with
databases
🔍
RAG
infoworld.com
·
6d
6 days ago
Actions for 10 MCP servers to connect LLMs with databases
Best practices for building a modern app with
vector
search
🔎
Information Retrieval
Content type:
Blog
elastic.co
·
6d
6 days ago
Actions for Best practices for building a modern app with vector search
Neo-X7/Neo-AI: A fully offline AI assistant powered by Ollama.
Stores
and retrieves conversations using SQLite +
LanceDB
vector
search. No cloud. No API keys. Runs entirely on your machine.
🔎
Information Retrieval
Content type:
Code
github.com
·
4d
4 days ago
·
DEV
Actions for Neo-X7/Neo-AI: A fully offline AI assistant powered by Ollama. Stores and retrieves conversations using SQLite + LanceDB vector search. No cloud. No API keys. Runs entirely on your machine.
AUR has been hit by a malware campaign
🔍
RAG
gist.github.com
·
2d
2 days ago
·
r/cachyos
·
Cited by 2 articles
Actions for AUR has been hit by a malware campaign
Build a 'Brain' for Your AI: How to Create a Knowledge Base Chatbot Using
Vector
Databases
📚
Knowledge Bases
Content type:
Blog
medium.com
·
6d
6 days ago
Actions for Build a 'Brain' for Your AI: How to Create a Knowledge Base Chatbot Using Vector Databases
The AI Agents Stack (2026 Edition)
🔍
RAG
Content type:
Blog
oreilly.com
·
6d
6 days ago
·
Cited by 1 article
Actions for The AI Agents Stack (2026 Edition)
Nonmem addition to agent that personalised experience
🔍
RAG
Content type:
Discussion
neonmem.com
·
5h
5 hours ago
·
DEV
Actions for Nonmem addition to agent that personalised experience
Obama Center, Nayland Blake, Danielle Mckinney
🔍
RAG
hyperallergic.com
·
1d
1 day ago
Actions for Obama Center, Nayland Blake, Danielle Mckinney
Python Concepts Every AI Engineer Must Master
🧠
LLMs
machinelearningmastery.com
·
2d
2 days ago
Actions for Python Concepts Every AI Engineer Must Master
PixelRAG beats text parsers on accuracy and cuts AI agent token costs 10x
⚙️
LLM Workflows
venturebeat.com
·
2d
2 days ago
Actions for PixelRAG beats text parsers on accuracy and cuts AI agent token costs 10x
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