Is RAG'd code included in "indexing", is anyone using RAG much these days?
or maybe lower level... chunking code, embedding, and indexing that and making a query tool available to agents? Combo of vectordb and traditional search?
or maybe lower level... chunking code, embedding, and indexing that and making a query tool available to agents? Combo of vectordb and traditional search?
November 14, 2025 at 11:28 PM
Is RAG'd code included in "indexing", is anyone using RAG much these days?
or maybe lower level... chunking code, embedding, and indexing that and making a query tool available to agents? Combo of vectordb and traditional search?
or maybe lower level... chunking code, embedding, and indexing that and making a query tool available to agents? Combo of vectordb and traditional search?
⚡️ Power smarter search with OpenSearch Vector Engine, an open-source vector database for real-time apps.
From semantic search to predictive analytics, it delivers speed and scale.
👉 Use cases: opensearch.org/platform/vec...
🔧 Get started: docs.opensearch.org/latest/vecto...
#OpenSearch #VectorDB
From semantic search to predictive analytics, it delivers speed and scale.
👉 Use cases: opensearch.org/platform/vec...
🔧 Get started: docs.opensearch.org/latest/vecto...
#OpenSearch #VectorDB
November 14, 2025 at 5:17 PM
⚡️ Power smarter search with OpenSearch Vector Engine, an open-source vector database for real-time apps.
From semantic search to predictive analytics, it delivers speed and scale.
👉 Use cases: opensearch.org/platform/vec...
🔧 Get started: docs.opensearch.org/latest/vecto...
#OpenSearch #VectorDB
From semantic search to predictive analytics, it delivers speed and scale.
👉 Use cases: opensearch.org/platform/vec...
🔧 Get started: docs.opensearch.org/latest/vecto...
#OpenSearch #VectorDB
🤖 Chromia x TinTinLand in Chengdu: AI Meets The Real World
Chromia’s China Tour recently stopped in Chengdu to explore how blockchain can make AI traceable and trustworthy.
Highlights include our VectorDB Extension, on-chain AI agents, and the ongoing development of ChromBot.
Chromia’s China Tour recently stopped in Chengdu to explore how blockchain can make AI traceable and trustworthy.
Highlights include our VectorDB Extension, on-chain AI agents, and the ongoing development of ChromBot.
November 11, 2025 at 2:48 PM
🤖 Chromia x TinTinLand in Chengdu: AI Meets The Real World
Chromia’s China Tour recently stopped in Chengdu to explore how blockchain can make AI traceable and trustworthy.
Highlights include our VectorDB Extension, on-chain AI agents, and the ongoing development of ChromBot.
Chromia’s China Tour recently stopped in Chengdu to explore how blockchain can make AI traceable and trustworthy.
Highlights include our VectorDB Extension, on-chain AI agents, and the ongoing development of ChromBot.
aiotcvectordb 0.1.1
Tencent VectorDB Python Async SDK
Author: Alvie Zhang
🏠Homepage
🛑Issues
🧑💻Repository
Tencent VectorDB Python Async SDK
Author: Alvie Zhang
🏠Homepage
🛑Issues
🧑💻Repository
November 8, 2025 at 1:00 PM
aiotcvectordb 0.1.1
Tencent VectorDB Python Async SDK
Author: Alvie Zhang
🏠Homepage
🛑Issues
🧑💻Repository
Tencent VectorDB Python Async SDK
Author: Alvie Zhang
🏠Homepage
🛑Issues
🧑💻Repository
Search is moving towards semantic understanding.
With vector technology, OpenSearch is laying the foundation for AI-driven applications that truly ‘get’ user intent.
🚀 Be part of this journey: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
With vector technology, OpenSearch is laying the foundation for AI-driven applications that truly ‘get’ user intent.
🚀 Be part of this journey: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
November 6, 2025 at 2:00 PM
Search is moving towards semantic understanding.
With vector technology, OpenSearch is laying the foundation for AI-driven applications that truly ‘get’ user intent.
🚀 Be part of this journey: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
With vector technology, OpenSearch is laying the foundation for AI-driven applications that truly ‘get’ user intent.
🚀 Be part of this journey: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
Snowflake just dropped an AI that goes beyond RAG—think instant querying & aggregation across thousands of docs, turning unstructured data into instant insights. Data warehouses meet vector DB power. Curious? Dive in. #SnowflakeAI #VectorDB #RAG
🔗 aidailypost.com/news/snowfla...
🔗 aidailypost.com/news/snowfla...
November 4, 2025 at 5:57 PM
Snowflake just dropped an AI that goes beyond RAG—think instant querying & aggregation across thousands of docs, turning unstructured data into instant insights. Data warehouses meet vector DB power. Curious? Dive in. #SnowflakeAI #VectorDB #RAG
🔗 aidailypost.com/news/snowfla...
🔗 aidailypost.com/news/snowfla...
VectorDB Bench расширяет возможности: поддержка S3Vector для оптимизации работы с векторными базами данных
https://kripta.biz/posts/66010C3F-AC5D-4D51-9D6F-E5EDA54FA58C
https://kripta.biz/posts/66010C3F-AC5D-4D51-9D6F-E5EDA54FA58C
November 3, 2025 at 2:20 PM
VectorDB Bench расширяет возможности: поддержка S3Vector для оптимизации работы с векторными базами данных
https://kripta.biz/posts/66010C3F-AC5D-4D51-9D6F-E5EDA54FA58C
https://kripta.biz/posts/66010C3F-AC5D-4D51-9D6F-E5EDA54FA58C
VectorDB Bench引入S3Vector支持，开启云存储向量数据库性能测试新篇章
https://qian.cx/posts/C8F4645C-6B92-4BC0-A251-FEF051675150
https://qian.cx/posts/C8F4645C-6B92-4BC0-A251-FEF051675150
November 3, 2025 at 2:19 PM
VectorDB Bench引入S3Vector支持，开启云存储向量数据库性能测试新篇章
https://qian.cx/posts/C8F4645C-6B92-4BC0-A251-FEF051675150
https://qian.cx/posts/C8F4645C-6B92-4BC0-A251-FEF051675150
HelixDB: Relational, #VectorDB + #GraphDB
Written in Rust for Ultra low latency
Build-in #MCP Server
AGPL 3.0 lic
github.com/HelixDB/heli...
Written in Rust for Ultra low latency
Build-in #MCP Server
AGPL 3.0 lic
github.com/HelixDB/heli...
GitHub - HelixDB/helix-db: HelixDB is an open-source graph-vector database built from scratch in Rust.
HelixDB is an open-source graph-vector database built from scratch in Rust. - HelixDB/helix-db
github.com
November 2, 2025 at 9:06 PM
HelixDB: Relational, #VectorDB + #GraphDB
Written in Rust for Ultra low latency
Build-in #MCP Server
AGPL 3.0 lic
github.com/HelixDB/heli...
Written in Rust for Ultra low latency
Build-in #MCP Server
AGPL 3.0 lic
github.com/HelixDB/heli...
Vector Search in ElasticSearch (Air-Gapped): Enterprise VectorDB Solution Here we will focus more on the VectorDB integration in the air gapped environment, and we assume you already setup the ELKs stacks in your… Continue reading on Medium »
Interest | Match | Feed
Interest | Match | Feed
Origin
medium.com
October 28, 2025 at 9:51 AM
Roo-VectorDB: революция в векторном поиске на базе PostgreSQL
https://kripta.biz/posts/D5CFBA56-1BF5-4228-97F5-0AB1AACE74A8
https://kripta.biz/posts/D5CFBA56-1BF5-4228-97F5-0AB1AACE74A8
October 22, 2025 at 5:17 PM
Roo-VectorDB: революция в векторном поиске на базе PostgreSQL
https://kripta.biz/posts/D5CFBA56-1BF5-4228-97F5-0AB1AACE74A8
https://kripta.biz/posts/D5CFBA56-1BF5-4228-97F5-0AB1AACE74A8
深入解析RooAGI推出的Roo-VectorDB：革新PostgreSQL向量搜索扩展
https://qian.cx/posts/9A748B12-57CC-44E0-B60D-FE919962C565
https://qian.cx/posts/9A748B12-57CC-44E0-B60D-FE919962C565
October 22, 2025 at 5:17 PM
深入解析RooAGI推出的Roo-VectorDB：革新PostgreSQL向量搜索扩展
https://qian.cx/posts/9A748B12-57CC-44E0-B60D-FE919962C565
https://qian.cx/posts/9A748B12-57CC-44E0-B60D-FE919962C565
My GitHub Sponsors profile is live! You can sponsor me to support my open source work 💖 I am developing a novel approach to vector spaces github.com/sponsors/Mec...
#vectordb #embeddings #LLMs #OpenSource #DataScience
#vectordb #embeddings #LLMs #OpenSource #DataScience
Sponsor @Mec-iS on GitHub Sponsors
Hi! I’m Lorenzo. I produce novel research and code leveraging LLMs. Ideas swift to prototype.
I like to escape stellar gravitational fields 🚀🚀🚀 at [www.tuned.org.uk](https://www.tuned.org.uk)
github.com
October 21, 2025 at 7:17 PM
My GitHub Sponsors profile is live! You can sponsor me to support my open source work 💖 I am developing a novel approach to vector spaces github.com/sponsors/Mec...
#vectordb #embeddings #LLMs #OpenSource #DataScience
#vectordb #embeddings #LLMs #OpenSource #DataScience
✍🏻#NewBlog 𝗟𝗟𝗠 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 (Like I’m 5)
You’ve heard of RAG, vector DBs, and embeddings... 🤔
But what are 𝐞𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠𝐬 really, and why do they matter?
learn all about it and how it works in this 5 minute post
👇🏼 cloudthrill.ca/llm_embeddin...
#LLM #Embeddingmodels #AI #RAG #VectorDB
You’ve heard of RAG, vector DBs, and embeddings... 🤔
But what are 𝐞𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠𝐬 really, and why do they matter?
learn all about it and how it works in this 5 minute post
👇🏼 cloudthrill.ca/llm_embeddin...
#LLM #Embeddingmodels #AI #RAG #VectorDB
LLM Embeddings Explained Like I’m 5 - Cloudthrill
Curious what LLM embeddings really are and how they power tools like RAG? This guide breaks it down simply - from text-to-vector magic to fast retrieval. Bonus: explore how KV cache speeds up inference in vLLM.
cloudthrill.ca
October 21, 2025 at 6:52 PM
✍🏻#NewBlog 𝗟𝗟𝗠 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 (Like I’m 5)
You’ve heard of RAG, vector DBs, and embeddings... 🤔
But what are 𝐞𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠𝐬 really, and why do they matter?
learn all about it and how it works in this 5 minute post
👇🏼 cloudthrill.ca/llm_embeddin...
#LLM #Embeddingmodels #AI #RAG #VectorDB
You’ve heard of RAG, vector DBs, and embeddings... 🤔
But what are 𝐞𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠𝐬 really, and why do they matter?
learn all about it and how it works in this 5 minute post
👇🏼 cloudthrill.ca/llm_embeddin...
#LLM #Embeddingmodels #AI #RAG #VectorDB
Great news! 🤖 Oracle ACE Rich Niemiec will be presenting at the ODTUG event "Oracle GenAI, VectorDB & Agents" on October 22. Don’t miss this opportunity to gain valuable insights into the latest in AI and database technology!
🔗 odtug.com/events/oracle-genai-vectordb-and-agents
#OracleACE
🔗 odtug.com/events/oracle-genai-vectordb-and-agents
#OracleACE
October 21, 2025 at 9:27 AM
Great news! 🤖 Oracle ACE Rich Niemiec will be presenting at the ODTUG event "Oracle GenAI, VectorDB & Agents" on October 22. Don’t miss this opportunity to gain valuable insights into the latest in AI and database technology!
🔗 odtug.com/events/oracle-genai-vectordb-and-agents
#OracleACE
🔗 odtug.com/events/oracle-genai-vectordb-and-agents
#OracleACE
Future work will be extracting vector embeddings and search from vectordb to move towards offline models as well. Fun project and worth following her progress #jsconf
October 14, 2025 at 3:13 PM
Future work will be extracting vector embeddings and search from vectordb to move towards offline models as well. Fun project and worth following her progress #jsconf
🖥️Want to see how vector search works in practice?
OpenSearch makes it simple to ingest embeddings and query with ease. Developers can get hands-on in minutes.
🔗 Start exploring: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
OpenSearch makes it simple to ingest embeddings and query with ease. Developers can get hands-on in minutes.
🔗 Start exploring: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
October 9, 2025 at 1:05 PM
🖥️Want to see how vector search works in practice?
OpenSearch makes it simple to ingest embeddings and query with ease. Developers can get hands-on in minutes.
🔗 Start exploring: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
OpenSearch makes it simple to ingest embeddings and query with ease. Developers can get hands-on in minutes.
🔗 Start exploring: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
coderlegion.com/6149/austral... #DataManagement #FileStorage #ObjectStorage #VectorDB #Python #HPC #DataEngineering
Australian data firm Arcitecta manages a trillion files in one namespace—adds vector search.
# How Arcitecta Built a Data Platform That Scales to Trillions of Files Most data management platforms break down when you hit the petabyte scale. [Arcitecta's][1] Mediaflux doesn't. The Australian co...
coderlegion.com
October 7, 2025 at 11:45 AM
Управление векторными базами данных с помощью естественного языка: Революция в работе с VectorDB
https://kripta.biz/posts/95D7E51D-3344-4681-BD44-535442C7A10A
https://kripta.biz/posts/95D7E51D-3344-4681-BD44-535442C7A10A
October 4, 2025 at 3:51 PM
Управление векторными базами данных с помощью естественного языка: Революция в работе с VectorDB
https://kripta.biz/posts/95D7E51D-3344-4681-BD44-535442C7A10A
https://kripta.biz/posts/95D7E51D-3344-4681-BD44-535442C7A10A
Not all vector databases are built the same.
OpenSearch brings:
🤝 Open source freedom
⚡ Memory-efficient ANN search
📈 Seamless scalability for real-world data
Smarter search, built by developers for developers.
👉 Dive in: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
OpenSearch brings:
🤝 Open source freedom
⚡ Memory-efficient ANN search
📈 Seamless scalability for real-world data
Smarter search, built by developers for developers.
👉 Dive in: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
October 3, 2025 at 1:24 PM
Not all vector databases are built the same.
OpenSearch brings:
🤝 Open source freedom
⚡ Memory-efficient ANN search
📈 Seamless scalability for real-world data
Smarter search, built by developers for developers.
👉 Dive in: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
OpenSearch brings:
🤝 Open source freedom
⚡ Memory-efficient ANN search
📈 Seamless scalability for real-world data
Smarter search, built by developers for developers.
👉 Dive in: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
In the AI era, handling massive vector data is crucial. VectorLiteDB offers a lightweight solution for efficient vector search in AI applications. How does your team currently manage vector data?
#AI #VectorDB
open.substack.com/pub/pythonli...
#AI #VectorDB
open.substack.com/pub/pythonli...
VectorLiteDB: Lightweight Vector DB for AI Apps
VectorLiteDB: Lightweight Python vector database for AI apps. Easy embedding, fast similarity search & simple integration. Perfect for prototypes & small projects.
open.substack.com
October 2, 2025 at 8:22 AM
In the AI era, handling massive vector data is crucial. VectorLiteDB offers a lightweight solution for efficient vector search in AI applications. How does your team currently manage vector data?
#AI #VectorDB
open.substack.com/pub/pythonli...
#AI #VectorDB
open.substack.com/pub/pythonli...
Imagine searching “red shoes for running on wet trails” instead of just keywords. 🏃♂️👟
Traditional search struggles, but OpenSearch vector engine understands context for smarter results.
💡 Try it: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
Traditional search struggles, but OpenSearch vector engine understands context for smarter results.
💡 Try it: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
September 30, 2025 at 1:04 PM
Imagine searching “red shoes for running on wet trails” instead of just keywords. 🏃♂️👟
Traditional search struggles, but OpenSearch vector engine understands context for smarter results.
💡 Try it: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
Traditional search struggles, but OpenSearch vector engine understands context for smarter results.
💡 Try it: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
And vector DBs like Pinecone, Weaviate, Chroma & Qdrant are more suitable for high-dimensional vector similarity search and they support more optimized ANN like HNSW, IVF, PQ etc. More importantly they can work with billions of vectors with low-latency queries.
#ivf #pq #ann #hnsw #vectordb #db
#ivf #pq #ann #hnsw #vectordb #db
September 29, 2025 at 9:30 PM
So when to go for vector DBs like Pinecone, Chroma, @weaviate.bsky.social, @qdrant.bsky.social ?
Here are my thoughts:
In my experiment, I was dealing with embedding vectors less than 100,000+.
#pinecone #chroma #weaviate #qdrant #vectordb
Here are my thoughts:
In my experiment, I was dealing with embedding vectors less than 100,000+.
#pinecone #chroma #weaviate #qdrant #vectordb
RAG ≠ 30-min tutorial.
To build production-ready RAG you need:
📄 Ingestion (PDF, OCR)
✂️ Chunking (Fixed, Semantic, Recursive, LLM-based)
🔎 Embeddings (Pinecone, Chroma, pgvector)
🧪 Eval (RAGAS)
🌐 Deploy (Supabase + pgvector + Lovable)
Demo 👉 diet-whisper.lovable.app
Code 👉 github.com/mcrao/RAG/tr...
To build production-ready RAG you need:
📄 Ingestion (PDF, OCR)
✂️ Chunking (Fixed, Semantic, Recursive, LLM-based)
🔎 Embeddings (Pinecone, Chroma, pgvector)
🧪 Eval (RAGAS)
🌐 Deploy (Supabase + pgvector + Lovable)
Demo 👉 diet-whisper.lovable.app
Code 👉 github.com/mcrao/RAG/tr...
September 29, 2025 at 9:30 PM
So when to go for vector DBs like Pinecone, Chroma, @weaviate.bsky.social, @qdrant.bsky.social ?
Here are my thoughts:
In my experiment, I was dealing with embedding vectors less than 100,000+.
#pinecone #chroma #weaviate #qdrant #vectordb
Here are my thoughts:
In my experiment, I was dealing with embedding vectors less than 100,000+.
#pinecone #chroma #weaviate #qdrant #vectordb
🔍 Search is changing. AI goes beyond keywords—welcome Vector Search: smarter recommendations, semantic results & faster retrieval.
🚀 OpenSearch makes it accessible to all.
👉 Discover the Vector Engine: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
🚀 OpenSearch makes it accessible to all.
👉 Discover the Vector Engine: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
September 24, 2025 at 1:15 PM
🔍 Search is changing. AI goes beyond keywords—welcome Vector Search: smarter recommendations, semantic results & faster retrieval.
🚀 OpenSearch makes it accessible to all.
👉 Discover the Vector Engine: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search
🚀 OpenSearch makes it accessible to all.
👉 Discover the Vector Engine: opensearch.org/platform/vec...
#OpenSearch #VectorDB #Search