Infinite-memory, Context-aware, & Multimodal Chatbotgithub.com3 points·by pierrebrunelle·10 เดือนที่ผ่านมา·1 comments
pierrebrunelle·10 เดือนที่ผ่านมา·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·11 เดือนที่ผ่านมา·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.