Blog
Postgres·Vector·Optimization
Use separate tables for asynchronous embedding generation
In this article, we'll explore a problem faced when extending traditional Postgres tables with an additional column for embeddings. We will describe a typical setting for asynchronous embedding generation and will show how table schema design can have a significant impact on storage and performance efficiency.
May 8, 2024 · 7 min read
Narek Galstyan
Cofounder
Postgres·WAL·Index·Indexing overhead
Understanding and Estimating Write-Ahead Log (WAL) Size in Postgres
This blog post looks into the underlying plumbing of WAL records - when they are created, what information they contain, and how different database operations like indexing affect the kind of WAL records being created.
May 7, 2024 · 10 min read
Narek Galstyan
Cofounder
Company
April 2024 - Engineering Updates
Engineering updates for April 2024, including asynchronous tasks, weighted vector search, and more.
May 1, 2024 · 2 min read
Di Qi
Cofounder
Benchmarking·Product
Product Quantization in Postgres
We implemented product quantization in Lantern and benchmarked it using the LAION 100M 768-dimensional vector dataset.
March 5, 2024 · 8 min read
Di Qi
Cofounder
Varik Matevosyan
Software Engineer
Benchmarking
Evaluating OpenAI's new embedding models with Lantern and Parea AI
OpenAI's newest embedding models promise huge performance increases. Using Lantern's Postgres vector database, and Parea AI's testing platform, we'll measure the new models in a real-world test.
February 29, 2024 · 6 min read
Di Qi
Cofounder
Learn
Vector databases explained
We give an overview of vector databases, and major concepts around them, including vector embeddings, vector indexing, and vector search.
March 29, 2024 · 12 min read
Di Qi
Cofounder
Company
Postgres vs ElasticSearch vs Algolia - Comparing the Best Search Solutions
Don't overcomplicate things with an external search engine like ElasticSearch or Algolia. Postgres as your search engine and database makes things simple and scalable for a few great reasons.
February 2, 2024 · 11 min read
Di Qi
Cofounder
Learn
Improving vector search over documents using HyDE
The HyDE technique uses LLMs to improve the quality of vector search over text. In this article, we explain how it works and walk through an example with Lantern as a vector database.
January 22, 2024 · 7 min read
Di Qi
Cofounder
Danyil Blyschak
Software Engineer
Embedding·Learn
Picking the right embedding model for your vector database
Why choosing the right embedding model for vector search makes all the difference, and how to experiment with embedding models more effectively with Lantern
January 15, 2024 · 12 min read
Di Qi
Cofounder
Danyil Blyschak
Software Engineer
Pinecone·Migration·Learn
Migrating from Pinecone to Lantern
Pinecone is a popular closed-source vector database. We built a Python library to support migrating data from Pinecone to Lantern. This article covers how we built it and how to use it.
January 6, 2024 · 6 min read
Di Qi
Cofounder
HNSW·Memory·Index·Quantization·Vector
Estimating memory footprint of your HNSW index
This interactive visualization will help you quickly reason about the resources necssary to host your embeddings and serve nearest neighbor queries over them
December 22, 2023 · 10 min read
Narek Galstyan
Cofounder
Company
Full Text Search + Vector Search with Postgres
Search is a common need for many applications. Postgres supports search out of the box with regex matching and full text search. This can be augmented with vector search.
December 16, 2023 · 11 min read
Di Qi
Cofounder
Learn
The Hierarchial Navigable Small Worlds (HNSW) Algorithm
A two-part explanation of the Hierarchial Navigable Small Worlds (HNSW) Algorithm
November 19, 2023 · 4 min read
Di Qi
Cofounder
Learn
Embeddings and choosing the right model
An overview of embeddings and what to consider when choosing an embedding model
November 13, 2023 · 6 min read
Di Qi
Cofounder
Benchmarking
90x faster than pgvector — Lantern's HNSW Index Creation Time
Index creation time is a critical database metric. Learn more about how Lantern enables 90x faster index creation times than pgvector, and how Lantern compares to Pinecone.
October 20, 2023 · 8 min read
Varik Matevosyan
Software Engineer
Company
Launching Lantern — a PostgreSQL vector database for building AI applications
Today we’re launching Lantern, an open-source PostgreSQL vector database.
September 13, 2023 · 3 min read
Narek Galstyan
Cofounder