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# vectordatabase

Vector databases are purpose-built databases that are specialized to tackle the problems that arise when managing vector embeddings in production scenarios.

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Migrating Vector Data from Milvus to TiDB
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Migrating Vector Data from Milvus to TiDB

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6 min read
How to Create Your Own RAG with Free LLM Models and a Knowledge Base
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How to Create Your Own RAG with Free LLM Models and a Knowledge Base

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7 min read
Long-Term Memory for AI Agents🧠📚
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Long-Term Memory for AI Agents🧠📚

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7 min read
Extended RaBitQ: an Optimized Scalar Quantization Method
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Extended RaBitQ: an Optimized Scalar Quantization Method

3
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7 min read
Learn AI and win $1000 for doing so: DataStax 12 days of Codemas
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Learn AI and win $1000 for doing so: DataStax 12 days of Codemas

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4 min read
Building a Scalable AI Chat Application with Python, LangChain and Vector Search

Building a Scalable AI Chat Application with Python, LangChain and Vector Search

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2 min read
Quantization in The Counterintuitive High-Dimensional Space
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Quantization in The Counterintuitive High-Dimensional Space

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11 min read
Vector Database for Modern Applications

Vector Database for Modern Applications

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2 min read
Boost Your Retrieval-Augmented Generation (RAG) with Vector Databases 🚀

Boost Your Retrieval-Augmented Generation (RAG) with Vector Databases 🚀

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1 min read
AI, RAG and Vector Databases

AI, RAG and Vector Databases

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1 min read
AIM Weekly 28 Oct 2024
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AIM Weekly 28 Oct 2024

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5 min read
Setup PostgreSQL w/ pgvector in a docker container
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Setup PostgreSQL w/ pgvector in a docker container

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2 min read
Ghosts as Unstructured Data: A Study Guide
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Ghosts as Unstructured Data: A Study Guide

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4 min read
Granting autonomy to agents

Granting autonomy to agents

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13 min read
Cosine Similarity Search on Vectors in Postgres with pgvector

Cosine Similarity Search on Vectors in Postgres with pgvector

2
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4 min read
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