Hey everyone. I've built a cluster in Qdrant.tech for someone and i wanted to search it with the built in feature in cluster ui in points tab. Everytime I tried searching with metadata or id or anything else im getting api key invalid error. I have tried using management keys and cluster keys with read and write ability but i always get this message. JWT Key also is not working and i dont have preview access tokens tab (Status: 403, message: {"error":"forbidden"}). Also I can see every single record in every collection. Im added to this cluster as a admin. If you ever worked with this or had similar problem and overcame it i would be very grateful for help Edit. I've solved the issue, all i needed to do was add indexes to metadata or make indexes from them idk. Here is curl to do it: curl -X PUT "https://yourendpoint/collections/yourcollectionname/index" \ -H "Authorization: Bearer <your-qdrant-api-key>" \ -H "Content-Type: application/json" \ -d '{"field_name":"metadata.name_of_metadata_piece","field_schema":"keyword"}'

Hey everyone, i have a client that wants basically RAG, but one, that will also throw out images when it's needed. Is it possible and if, how could be the best way to implement this

Hi everyone, Im currently building a system that produces estimates for various construction projects. My client has somewhat big database that i put into Pinecone, it's all separated into according indexes and to supplement infomrations not present in database I used SerpAPI. Basically task of the AI is to look at the work that needs to be done, create a "plan" and calculate how many man-hours it will take and price accordingly. All three parts are separated into two agents for calculation and AI message for plan. I used open ai gpt4o mini as a chat model for all of the ai agents and ai node. I want to test other chat models, can you guys tell me what language model and chat model would be best for this kind of task?