Infinite-memory, Context-aware, & Multimodal Chatbotgithub.com3 ポイント·投稿者 pierrebrunelle·10 か月前·1 コメント
pierrebrunelle·10 か月前·議論Building 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 か月前·議論Agree...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.