Using RAG to Build Your IDE Agents

1. pandas-ai

   1 21 22,882 9.3 Python

   Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

   

   In this blog, we will build a powerful IDE agent for PandasAI using Dash Agent. Then later on, we'll understand how using RAG can significantly improve LLM responses.

2. Stream

   getstream.io featured

   Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.

   

3. CSV_ChatBot

   2 1 0 6.0 Python

   

4. GroqMultiCSVChatPandasAI

   3 1 6 2.5 Python

   

5. MutipleCSVChatllama3Pandasai

   4 1 20 3.4 Python

   

6. PandasAI-Tutorials

   5 1 183 7.9 Jupyter Notebook

   Tutorials for PandasAI

   

7. PandasAI-CSV-Analysis

   6 1 0 4.5 Python

   

8. tokens

   7 119 - -

   accessToken: During processing, the CommandDash server indexes data for WebDataObject.fromGithub via Github's official API. To fetch the data from the GitHub API efficiently, the personal github token is required and can be easily generated by visiting the tokens page.

9. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

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