Startup funding data analyzer

1. Set up a database instance with the schema in the schema.sql file.
2. Use the import command (i.e., see /src/api/import.rs) to ingest funding data into the db instance. (Feel free to ingest csv files in the /data directory)
3. (Optional) If you have an account on Crunchbase, download the data in csv format by clicking "EXPORT TO CSV" here.

1. Querying pre-seed & seed startup funding data based on the following criteria: "Industry", "Last X days", & "Currency".
2. Importing a csv file into the db.
3. Asking questions for the fetched funding data in natural language.

1. cargo build --release
2. Import: ./target/release/crunchbase import
3. Query: ./target/release/crunchbase query

1. Set up a central database for others to use upon approval.
2. Integrate an LLM-based agent with tools (e.g., search, access to vector store, etc.)
3. Add prompt templates
4. Add plot capability

• The quality of the answer is almost always better with GPT-4, but be aware of the cost.
• If the context length limit is reached based on the data points, consider modifying the number of days to resolve the problem.