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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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FalkorDB has integrated with cognee to improve AI-driven knowledge retrieval

FalkorDB has integrated with cognee to improve AI-driven knowledge retrieval

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1 min read
Elasticsearch Was Great, But Vector Databases Are the Future

Elasticsearch Was Great, But Vector Databases Are the Future

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6 min read
Introducing Milvus 2.5: Built-in Full-Text Search, Advanced Query Optimization, and More 🚀

Introducing Milvus 2.5: Built-in Full-Text Search, Advanced Query Optimization, and More 🚀

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4 min read
Migrating Vector Data from Milvus to TiDB

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

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🧠📚

Long-Term Memory for AI Agents🧠📚

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7 min read
Extended RaBitQ: an Optimized Scalar Quantization Method

Extended RaBitQ: an Optimized Scalar Quantization Method

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7 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
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

AIM Weekly 28 Oct 2024

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5 min read
Ghosts as Unstructured Data: A Study Guide

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

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4 min read
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