Top Tweets for #Vectorstores
تعرف على السر وراء ذاكرة الذكاء الاصطناعي، وكيف تقنية Vector Stores تخلّيه يتصرّف كأنه “يتذكّر” كلامك!
🔻
#AIPioneer #AI #VectorStores
Is anyone out there building a RAG?
I've changed from a Google Vertex to @pinecone for my Vector Store, and I'm seeing an improvement both quality of results (subjective) and speed (1.2x).
Any other alternatives or tips for this?
#rag #semanticsearch #vectorstores

📚 Vector stores are databases designed to store vectors, the numerical representations of data that maintain the semantic meaning of words. Vectors with similar meanings have close proximity, making vector stores crucial for AI applications.
#MightClick #VectorStores #AI
OpenAI has gone all in creating it’s own Vector store with tight integration with the Assistants API.
Everything ‘just works’. Having used specialist Vector stores, some control is lost. Will you still want to use a more specialised tool going forward? #OpenAI #VectorStores

Happy to complete my first #certification of 2024>>@langchain & Vector Databases in Production<< This is a rigorous and project-filled program covering all things #chains #embeddings #vectorstores #retrievers #tools #agents #llms and so much more. Credit to @activeloop

#LLMs can be customized to give smarter responses using user-curated knowledge bases and adopting #RAG. @mlauber71 uses #KNIME and #GPT4All to create #VectorStores and leverages #opensource #local #LLMs to get custom responses.
📌 #READ → https://t.co/KpCyQP37Lv
Whare the 4 ways to get a custom #LLM?
- #PromptEngineering ⚙
- #HyperparameterTuning 🎚 🎛
- #RetrievalAugmentedGeneration (#VectorStores)📚
- #ConversationalRetrievalAgents 🤖
Read more at:
https://t.co/Q1r6ZUAtLy
Join a practical #KNIME workshop:
https://t.co/SntO8zVWN9

Automatically sync and vectorize your notion workspace to be used in chatbots. Saving costs by vectorizing changed data only
Coming soon...
#ai #vector #vectorstores #chatgpt #llms

Just like no production application will run full table scans on it's DB for every query (and instead has indexes), an #LLM will not process redundant data - and instead will work in synergy with #VectorStores.
@EdenEmarco177 hits the nail on the head again 💣😲
0/12 📢🧵Unpopular Opinion thread - Vectorstores are here to stay! 🔐🚀
I've noticed a lot of tweets lately discussing how #LLM s with larger context windows will make vector-databases obsolete. However, I respectfully disagree. Here's why:

Day 92 of #100DaysOfCode
Today I started learning about embedding the school materials into a vector store. Watched this video for a first intro. Now evaluating #FAISS, #Pinecone and other #vectorstores. Digging into @langchain's Document Loaders.
https://t.co/4zaySW1U2T
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