support vector index

[Jant1L]

Support create vector index and query similarity

How to create a vertex which contains vector property：
eg：
CALL db.createVertexLabel('person', 'id', 'id', 'int64', false, 'vector', 'float_vector', true);
CREATE (n:person {id:2001, vector: [1.0,2.0,3.0]});

Create vector index：
vector.AddVectorIndex(label_name, field_name, index_type, vec_dimension, distance_type ,index_spec);
eg：for HNSW, it need 2 parameters for index_spec：Max_degree && ef_construction
CALL vector.AddVectorIndex('person', 'vector', 'HNSW', 4, 'L2' ,24 , 100);

Delete vector index：
vector.DeleteVectorIndex(label_name, field_name, index_type, vec_dimension, distance_type);
eg：
CALL vector.DeleteVectorIndex('person', 'vector', ' HNSW ', 4, 'L2');

Show vector index：
CALL vector.ShowVectorIndex();

Query by using vector index：
CALL vector.VectorIndexQuery(label_name, field_name, vector, vec_dimension, query_spec);
eg：for HNSW, it need 1 parameter for index_spec：ef_search
CALL vector.VectorIndexQuery('person', 'vector', [1,2,3,4], 4, 10);

What support now：
VSAG HNSW

TODO:
support more vector index algorithm and library

[CLAassistant]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you all sign our Contributor License Agreement before we can accept your contribution.
3 out of 4 committers have signed the CLA.

✅ Jant1L
✅ PPPoint-t
✅ lipanpan03
❌ tugraph

---

tugraph seems not to be a GitHub user. You need a GitHub account to be able to sign the CLA. If you have already a GitHub account, please add the email address used for this commit to your account.
_{You have signed the CLA already but the status is still pending? Let us recheck it.}

[CLAassistant]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you all sign our Contributor License Agreement before we can accept your contribution.
1 out of 2 committers have signed the CLA.

✅ Jant1L
❌ PPPoint-t
_{You have signed the CLA already but the status is still pending? Let us recheck it.}

[ljcui]

CALL vector.VectorIndexQuery('person','vector',[1,2,3,4], 2, 10)") 这个返回结果是什么，向量检索的最终目的是用来查点的。

[Jant1L]

返回结果是 对应的vid label_name field_name vector distance

[ljcui]

vsag改成静态库编译

[ljcui]

vsag改成静态库编译

确认了，静态库搞不定，只能链接动态库

[ljcui]

这一版，先暂时合并进去。