Infinite-memory, Context-aware, & Multimodal Chatbotgithub.com3 points·by pierrebrunelle·il y a 10 mois·1 comments
pierrebrunelle·il y a 10 mois·discussBuilding an infinite-memory, context-aware, multimodal chatbot is as easy as 600 lines of Pixeltable code.Why? Because Pixeltable is the only multimodal data infrastructure that unifies storage and orchestration for your AI workloads.
pierrebrunelle·il y a 11 mois·discussAgree...as simple as:@pxt.query def search_documents(query_text: str, user_id: str): sim = chunks.text.similarity(query_text) return ( chunks.where( (chunks.user_id == user_id) # Metadata filtering & (sim > 0.5) # Filter by similarity threshold & (pxt_str.len(chunks.text) > 30) # Additional filter/transformation ) .order_by(sim, asc=False) .select( chunks.text, source_doc=chunks.document, # Ref to the original document sim=sim, title=chunks.title, heading=chunks.heading, page_number=chunks.page ) .limit(20) )For instance in https://github.com/pixeltable/pixeltable
Why? Because Pixeltable is the only multimodal data infrastructure that unifies storage and orchestration for your AI workloads.