SubQuestionQueryEngine
mistral-cookbookLlamaIndexthird_party
Export
Sub-Question Query Engine with Mistral AI and LlamaIndex
A VectorStoreIndex is adept at addressing queries that pertain to specific contexts within a single document or a collection of documents. However, user queries in real-world scenarios can be intricate, often requiring the retrieval of context from multiple documents to provide an answer. In such situations, a straightforward VectorStoreIndex might not suffice. Instead, breaking down the complex user queries into sub-queries can yield more accurate responses.
In this notebook, we will explore how the SubQuestionQueryEngine can be leveraged to tackle complex queries by generating and addressing sub-queries.
Installation
[ ]
Setup API Key
[1]
Set LLM and Embedding Model
[2]
[3]
[4]
Logging
[5]
Download Data
We will use Uber, Lyft 10K SEC Filings and Paul Graham Essay Document.
[6]
--2024-04-03 21:42:52-- https://raw.githubusercontent.com/run-llama/llama_index/main/docs/docs/examples/data/10k/uber_2021.pdf Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.110.133, 185.199.109.133, ... Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 1880483 (1.8M) [application/octet-stream] Saving to: ‘./uber_2021.pdf’ ./uber_2021.pdf 100%[===================>] 1.79M --.-KB/s in 0.05s 2024-04-03 21:42:52 (36.2 MB/s) - ‘./uber_2021.pdf’ saved [1880483/1880483] --2024-04-03 21:42:52-- https://raw.githubusercontent.com/run-llama/llama_index/main/docs/docs/examples/data/10k/lyft_2021.pdf Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.111.133, 185.199.108.133, ... Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 1440303 (1.4M) [application/octet-stream] Saving to: ‘./lyft_2021.pdf’ ./lyft_2021.pdf 100%[===================>] 1.37M --.-KB/s in 0.05s 2024-04-03 21:42:53 (26.7 MB/s) - ‘./lyft_2021.pdf’ saved [1440303/1440303] --2024-04-03 21:42:53-- https://raw.githubusercontent.com/run-llama/llama_index/main/docs/docs/examples/data/paul_graham/paul_graham_essay.txt Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.111.133, 185.199.110.133, ... Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 75042 (73K) [text/plain] Saving to: ‘./paul_graham_essay.txt’ ./paul_graham_essay 100%[===================>] 73.28K --.-KB/s in 0.01s 2024-04-03 21:42:54 (5.76 MB/s) - ‘./paul_graham_essay.txt’ saved [75042/75042]
Load Data
[8]
Index and Query Engine creation
[9]
HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK"
[10]
Create Tools
[11]
Create SubQuestion Query Engine
[12]
Querying
Here you can see the sub-queries created to answer complex user-query which has multiple questions.
Query related to Uber and Lyft docs.
Creates two sub-queries related to Uber and Lyft.
[13]
HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK" Generated 2 sub questions. [uber_vector_query_engine] Q: What is the revenue of Uber for year 2021 [lyft_vector_query_engine] Q: What is the revenue of Lyft for year 2021 HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK" [lyft_vector_query_engine] A: The revenue for Lyft in 2021 was $3,208,323 (in thousands). HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK" [uber_vector_query_engine] A: The total revenue for Uber in the year 2021 was $17,455 million. This includes revenue from various offerings such as Mobility, Delivery, Freight, and All Other revenue streams. The Mobility revenue was $6,953 million, Delivery revenue was $8,362 million, Freight revenue was $2,132 million, and All Other revenue was $8 million. HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK"
Query related to Uber and Paul Graham Essay
Creates two sub-queries related to Uber and Paul Graham Essay.
[14]
HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK" Generated 2 sub questions. [uber_vector_query_engine] Q: What is the revenue of Uber for the year 2021 [paul_graham_vector_query_engine] Q: Why did Paul Graham start Y Combinator HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK" [uber_vector_query_engine] A: The revenue for Uber in the year 2021 was $17,455 million. HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK" [paul_graham_vector_query_engine] A: Paul Graham started Y Combinator as a result of a convergence of three thoughts: his desire to stop procrastinating about angel investing, his wish to collaborate with Robert and Trevor on projects, and his frustration with VCs who took too long to make decisions. He decided to start his own investment firm, where he would fund it, his wife Jessica could quit her job and work for it, and they could get Robert and Trevor as partners. The aim was to make seed investments and help startups in the same way they had been helped when they were starting out. HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK"
Query Related to Uber, Lyft and Paul Graham Essay.
Creates sub-queries related to Uber, Lyft and Paul Graham Essay.
[15]
HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK" Generated 3 sub questions. [uber_vector_query_engine] Q: What is the revenue of Uber for year 2021 [lyft_vector_query_engine] Q: What is the revenue of Lyft for year 2021 [paul_graham_vector_query_engine] Q: Why did Paul Graham start Y Combinator HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/embeddings "HTTP/1.1 200 OK" HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK" [lyft_vector_query_engine] A: The revenue for Lyft in 2021 was $3,208,323 (in thousands). HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK" [uber_vector_query_engine] A: The total revenue for Uber in the year 2021 was $17,455 million. This includes revenue from various offerings such as Mobility, Delivery, Freight, and All Other revenue streams. The Mobility revenue was $6,953 million, Delivery revenue was $8,362 million, Freight revenue was $2,132 million, and All Other revenue was $8 million. HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK" [paul_graham_vector_query_engine] A: Paul Graham started Y Combinator as a result of a convergence of three thoughts: his desire to stop procrastinating about angel investing, his wish to collaborate with Robert and Trevor on projects, and his frustration with VCs who took too long to make decisions. He decided to start his own investment firm, where he would fund it, his wife Jessica could quit her job and work for it, and they could get Robert and Trevor as partners. The aim was to make seed investments and help startups in the same way they had been helped when they were starting out. HTTP Request: POST https://api.mistral.ai/v1/chat/completions "HTTP/1.1 200 OK"