Blog Post: https://bugbytes.io/posts/vectordata...

In this video, we'll look at the pgvector extension for PostgreSQL, that allows you to turn your Postgres database into a vector datastore!

pgvector adds the vector datatype and distance computation operators (L2, inner product, and cosine distance) to allow you to query for "similar" items in the vectorspace.

We'll see how to set pgvector up in a Docker container, and will see how to integrate it with Langchain via the PGVector object.

We'll look at how to take a piece of text, split it into chunks, create embeddings from those chunks using OpenAI, and then store the embeddings in the Postgres vector database. We'll also see how to query the database for vectors/documents that are similar to a text prompt/query.

☕ :
To support the channel and encourage new videos, please consider buying me a coffee here:
https://kofi.com/bugbytes

:
00:00 Intro
00:41 Introduction to pgvector for PostgreSQL
03:23 Splitting text file into chunks with Langchain RecursiveCharacterTextSplitter
06:10 Using OpenAI to get embeddings for each chunk with OpenAIEmbeddings object
10:54 Setting up pgvector and PostgreSQL in a Docker container
16:38 Using the Langchain PGVector object to connect to PostgreSQL
21:47 Finding similar vectors to a query in pgvector
25:29 Querying pgvector with SQL to get cosine distances

:
Blog: https://bugbytes.io/posts/vectordata...
Github: https://github.com/bugbytesio/
Twitter:   / bugbytesio  

:
Blog Post: https://bugbytes.io/posts/vectordata...
pgvector: https://github.com/pgvector/pgvector
pgvector DockerHub image: https://hub.docker.com/r/ankane/pgvector
State of the Union text: https://github.com/hwchase17/chromal...
OpenAI Embeddings: https://platform.openai.com/docs/guid...
Langchain Vectorstores: https://python.langchain.com/docs/mod...

#python #langchain #datascience #postgresql