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Roadmap

db-ally is actively developed and maintained by a core team at deepsense.ai and a community of contributors.

We are constantly working on new features and improvements. If you have any ideas or suggestions, feel free to open an issue or a pull request.

Below you can find a list of planned features and integrations.

Planned Features

  • Support analytical queries: support for exposing operations beyond filtering.
  • Few-shot prompting configuration: allow users to configure the few-shot prompting in View definition to improve IQL generation accuracy.
  • Request contextualization: allow to provide extra context for db-ally runs, such as user asking the question.
  • OpenAI Assistants API adapter: allow to embed db-ally into OpenAI's Assistants API to easily extend the capabilities of the assistant.
  • Langchain adapter: allow to embed db-ally into Langchain applications.

Integrations

Being agnostic to the underlying technology is one of the main goals of db-ally. Below you can find a list of planned integrations.

Data sources

  • Sqlalchemy
  • Pandas DataFrame
  • HTTP REST Endpoints
  • GraphQL Endpoints

LLMs

  • OpenAI models
  • Claude 3
  • LLama-2
  • Mistral / Mixtral
  • VertexAI Gemini

Vector stores

  • FAISS
  • Chroma
  • Elasticsearch
  • Weaviate
  • Qdrant
  • VertexAI Vector Search
  • Milvus

Query tracking

  • Langsmith
  • OpenTelemetry