How to build a local retrieval-augmented generation application using Postgres, the pgvector extension, Ollama, and the Llama 3 large language model.

Timescale Inc., a PostgreSQL cloud database company, today announced the release of two new open-source extensions that significantly enhance its scalability and ease of use for artificial ...

Timescale debuts open source pgai Vectorizer for AI embeddings as it looks to push vector database beyond RAG.

How do these potential Postgresql options compare with how AnythingLLM handles using Pincecone-as-a-vector-store? I'm fairly certain AnythingLLM natively scrapes (docs / websites / GitHub repos / etc.

I am using python scripts to automate data processing, chunking and embedding into Postgres vector database. Going forward how do I implement a logic such that if there an update in the source ...

The proliferation of large language models and generative AI has created fertile ground for vector database technologies to flourish.

Much like what we saw with the noSQL wave, the introduction of vector database technology is requiring developers to leave their Postgres ecosystem to build AI applications.