zilliztech/GPTCache

[Feature]:Support integrate Elasticsearch as the VectorBase

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#490 opened on Jul 19, 2023

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 (5 comments) (0 reactions) (1 assignee)Python (407 forks)batch import
good first issuehelp wantedplanned

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Description

Is your feature request related to a problem? Please describe.

Elasticsearch is a distributed, RESTful search and analytics engine. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.

Will gptcache integrate Elasticsearch as the vectorbase?

Describe the solution you'd like.

Implement the gptcache.manager.vector_data.base.VectorBase

Describe an alternate solution.

Implement the gptcache.manager.vector_data.base.VectorBase

Anything else? (Additional Context)

Nothing

Contributor guide

Research direction
Study the existing VectorBase implementations (e.g., Milvus, FAISS) to understand the required interface. Then implement the Elasticsearch integration using the elasticsearch Python client. Handle vector indexing and search operations. Add tests and documentation.
Tech stack
python
Domain
backenddatabase
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70